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Join Us at Twelve Labs
At Twelve Labs, we are at the forefront of developing revolutionary multimodal foundation models that interpret videos with human-like understanding. Our cutting-edge models have set new benchmarks in video-language modeling, enhancing our capabilities in analyzing and interacting with diverse media forms.
Backed by over $110 million in Seed and Series A funding, we are supported by prestigious venture capital firms including NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, along with esteemed AI pioneers such as Fei-Fei Li and Silvio Savarese. While our headquarters is in San Francisco, our significant presence in Seoul highlights our dedication to global innovation.
Our strategic partnerships with NVIDIA and AWS provide us with access to top-tier hardware, including the B300s, which empower our advancement in video AI capabilities.
We embrace the unique journeys of every individual and believe that our diverse backgrounds drive innovation. We seek passionate individuals who resonate with our mission and are eager to make impactful contributions as we redefine technology and transform the world of video understanding and multimodal AI.
About the Video Cognition System Team
Our team is dedicated to creating the first-ever video cognition system capable of processing extensive video libraries into a structured, queryable Video Memory & Cortex for vertical LLM agents.
We are addressing fundamental questions surrounding machine cognition, focusing on perception, memory, reasoning, and attention. Our goal is to design innovative memory structures that exceed traditional context windows and build a reasoning cortex for comprehensive video analysis.
Our research endeavors cover corpus-level reasoning, knowledge extraction, indexing architectures, and multi-video understanding, requiring a synergistic collaboration between research and engineering to create systems that are both scientifically rigorous and impactful.
Join Us at Twelve LabsAt Twelve Labs, we are at the forefront of developing revolutionary multimodal foundation models that interpret videos with human-like understanding. Our cutting-edge models have set new benchmarks in video-language modeling, enhancing our capabilities in analyzing and interacting with diverse media forms.Backed by over $110 million in …
About UsAt TwelveLabs, we are at the forefront of creating innovative multimodal foundation models that can interpret videos with human-like understanding. Our groundbreaking models elevate the standards in video-language modeling, enabling intuitive interactions and comprehensive analyses of diverse media formats.With over $110 million secured in Seed and Series A funding, we are supported by leading venture capital firms such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, along with esteemed AI pioneers like Fei-Fei Li, Silvio Savarese, and Alexandr Wang. Our headquarters are based in San Francisco, with a significant presence in Seoul, reflecting our dedication to global innovation.Our collaboration with NVIDIA and AWS grants us access to cutting-edge chips, including B300s, empowering us to expand the possibilities in video AI.We cherish the diverse journeys of our team members, believing that our varied cultural, educational, and life experiences are key to challenging the status quo. We seek passionate individuals eager to impact the technology landscape and help us redefine video understanding and multimodal AI.Team OverviewThe Embedding & Search team is integral to TwelveLabs' video understanding initiatives. We craft unified embedding spaces that encompass video, audio, text, and other modalities, and develop retrieval systems designed to deliver precise results that align with user intent across extensive video catalogs.Our research encompasses a wide array of challenges including multimodal representation learning via contrastive and probabilistic methods, temporal video understanding—focusing on hierarchical segmentation and boundary detection—neural ranking architectures for multi-stage retrieval, and modeling user behavior to gain insights into how users search for and engage with video content. We prioritize both algorithmic advancements that set new benchmarks and human-centric insights that enhance the utility of our systems.Our research team benefits from access to state-of-the-art chips like NVIDIA B300s, which accelerate our research-to-production transitions.
About UsAt Twelve Labs, we are at the forefront of pioneering advanced multimodal foundation models that enable video comprehension akin to human understanding. Our innovative models have set new benchmarks in video-language modeling, granting us enhanced capabilities and transforming media interaction and analysis.With an impressive backing of over $110 million through Seed and Series A funding from esteemed venture capital entities such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, we are guided by influential AI leaders and founders, including Fei-Fei Li, Silvio Savarese, and Alexandr Wang. Our headquarters in San Francisco and significant APAC presence in Seoul emphasize our dedication to global innovation.Our collaborations with NVIDIA and AWS grant us access to state-of-the-art chips, like the B300s, allowing us to expand the horizons of video AI.We celebrate the diversity of each individual’s journey, believing that the variances in our cultural, educational, and life experiences empower us to challenge conventional norms. We seek passionate individuals inspired by our mission to make a meaningful impact in the realm of technology. Join us in revolutionizing video understanding and multimodal AI.Team OverviewThe Pegasus team is integral to Twelve Labs’ video understanding initiatives, responsible for our flagship Video Analysis product. Our mission is to develop multimodal video analysis systems that excel in instruction-following capabilities and generate complex, hierarchically structured outputs. We prioritize delivering products with tangible real-world impact and operate as a goal-driven, cross-functional team comprising both ML researchers and engineers.Our projects tackle a wide array of challenges, including large-scale distributed training of multimodal LLMs, precise temporal segmentation, structured metadata extraction for practical applications, and enhancing temporal context lengths to several hours. We focus on data curation processes that enable aligned evaluation and performance improvements through enhanced training data.Our team is equipped with the world’s most advanced chips, including NVIDIA B300s, to expedite our research-to-production cycle, driving rapid advancements in video analysis systems.
Who We AreAt TwelveLabs, we are at the forefront of developing innovative multimodal foundation models that enable video comprehension akin to human understanding. Our models have set new benchmarks in video-language modeling, enhancing our capability to interact with and analyze diverse media formats.Backed by over $110 million in Seed and Series A funding from renowned venture capital firms including NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, as well as influential AI pioneers like Fei-Fei Li and Alexandr Wang, we are located in San Francisco and have a significant presence in APAC, particularly in Seoul, reinforcing our mission to drive global innovation.Our collaborations with NVIDIA and AWS provide access to state-of-the-art chips, such as the B300s, empowering us to push the frontiers of video AI.We embrace the individuality of each team member's journey, recognizing that our diverse cultural, educational, and life experiences fuel our ability to challenge the status quo. We seek passionate individuals aligned with our mission to make a meaningful impact as we advance technology to reshape the world. Join us in revolutionizing video understanding and multimodal AI.About the TeamThe Pegasus team is integral to TwelveLabs’ video understanding initiatives, leading the development of Pegasus, our Video Analysis product. Our aim is to create multimodal video analysis systems that excel in high instruction-following capabilities and deliver complex, hierarchically structured outputs. We prioritize the delivery of products that provide real-world value, collaborating in a goal-driven, cross-functional environment that unites ML researchers and engineers.Our responsibilities span a wide array of challenges, including large-scale distributed training of multi-modal LLMs, precise temporal segmentation, structured metadata extraction for practical applications, and enhancing training data for performance improvements.Our team leverages advanced chips, including NVIDIA B300s, to expedite our research-to-production transition, ensuring swift advancements in video analysis systems.
Coupang Logistics Services (CLS) is a subsidiary of Coupang specializing in end-to-end logistics across South Korea. The company manages parcel delivery, freight transport, cargo forwarding, warehousing, and cargo classification. CLS is recognized as a designated parcel transport provider by the Ministry of Land, Infrastructure and Transport. Its operations rely on dedicated sorting teams and professional delivery staff, called Coupang Friends, who support delivery camps throughout the country. This network is essential to the reliability of Coupang's Rocket Delivery service. CLS invests in logistics solutions to enhance customer satisfaction, drawing on operational expertise and the infrastructure supporting Rocket Delivery. The company focuses on continuous improvement and innovation within the logistics sector.
Join Our Mission to Conquer Cancer Through AILunit, a leading medical AI software company dedicated to transforming cancer care through innovative AI solutions, is seeking a Senior Applied Research Scientist. Our technology aids in cancer detection and treatment outcome predictions, ensuring patients receive timely and personalized care. Team DynamicsYou will collaborate with a dynamic team of AI research scientists and engineers within our Oncology AI Research Department, passionately pursuing meaningful applied research that impacts lives.Our diverse team brings together various cultural backgrounds and expertise, fostering a culture of sharing and collaboration, whether through engineering, model-centric, or data-centric AI initiatives. Position HighlightsYour contributions will directly influence our mission to enhance cancer treatment personalization, with our world-class software utilized in hospitals and pharmaceutical companies globally.Engage in cutting-edge projects encompassing object detection, semantic segmentation, self-supervised learning, and more, leveraging extensive datasets and cloud computing capabilities.Participate in community engagement through publications, blog posts, and public events like machine learning challenges.Grow both personally and professionally by working on diverse projects and collaborating with a talented, multidisciplinary team. Key ResponsibilitiesDesign, propose, and implement advanced AI models that tackle real-world challenges in cancer diagnostics and treatment planning.
Lunit, based in Seoul, is a healthcare AI company dedicated to improving cancer diagnosis and treatment. The team creates AI tools that help clinicians make precise diagnoses and predict how patients will respond to therapies, with the goal of advancing personalized care. This role is open to candidates living in Korea who have business-level Korean proficiency. Team Overview The Biomedical Research Team (BMRS) is part of Lunit's Oncology Group. BMRS connects AI research with clinical practice by running exploratory and data-driven studies that test AI models in real-world settings. The team works closely with clinicians, product development, MLOps, and platform engineering to turn research into products that support patient care. Role Overview The Biomedical Research Scientist - Precision Oncology will focus on developing predictive models for Lunit's AI biomarker platform using patient tissue slide images. The position involves building metrics from digital pathology images, validating their clinical relevance, and contributing to translational research. Collaboration with clinicians, engineers, and product teams is central to ensuring research findings inform clinical decisions. Key Responsibilities Design, develop, implement, and evaluate image-based companion diagnostics biomarker models for personalized treatment decisions. Translate biological and clinical requirements into scalable machine learning and AI solutions in partnership with clinicians, engineers, and product teams. Lead experimental design and analysis, including idea generation, documentation, and reporting. Conduct clinical research to ensure validity and reproducibility of results. Present and publish research findings through abstracts, papers, and conferences. Required Qualifications Bachelor's degree in a relevant field with over 3 years of experience, or a Master's degree or higher in Bioinformatics, Computational Biology, Biomedical Science, Biomedical Engineering, Biology, Medicine, Computer Science, Statistics, or a related area. Experience developing machine learning models and deploying them in production or research environments. Background in data integration, machine learning applications, and statistical analysis (including statistical tests and evaluation metrics). Proficiency in Python and machine learning frameworks, with the ability to develop data pipelines. Strong communication skills for effective collaboration across teams. Preferred Qualifications PhD in a related field (Bioinformatics, Computational Biology, Biomedical Science, Biomedical Engineering, Biology, Medicine, Computer Science, Statistics, or similar). Research achievements in deep learning, machine learning, or applied statistical learning in biology, such as publications, open-source contributions, or product launches. Expertise in cancer genomics, spatial genomics, or multi-omics data analysis. Experience in cancer biology, immunology, digital pathology, or medical image analysis. At least 2 years of experience in computer vision or machine learning, or relevant research experience. Background in clinical research and applying complex machine learning techniques systematically. Experience integrating and analyzing large-scale or high-dimensional medical data. Strong problem-solving, planning, and project management skills. Application Materials Resume (any format) Portfolio (optional): Should outline objectives, execution details, personal contributions, and outcomes of research and development projects. Interview Process Document Screening Competency-based Interview 1 Competency-based Interview 2 Culture-fit Interview Onboarding Reference checks may be conducted after the final interview if needed. Working Conditions Employment type: Full-time Work location: Lunit Headquarters, 5th floor, Case Square Gangnam, 374 Gangnam-daero, Gangnam-gu, Seoul Salary: Determined after the interview Additional Information Providing false information in application documents may result in disqualification, even after hiring confirmation.
About UsAt TwelveLabs, we are at the forefront of creating innovative multimodal foundation models that empower machines to understand videos as humans do. Our groundbreaking models have set new benchmarks in video-language modeling, enhancing our analytical capabilities and revolutionizing media interaction.With over $110 million raised in Seed and Series A funding, we are supported by leading venture capital firms, including NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, alongside esteemed AI pioneers like Fei-Fei Li and Silvio Savarese. Headquartered in San Francisco, we also boast a significant presence in Seoul, reflecting our dedication to global innovation.Our strategic alliances with NVIDIA and AWS provide us access to state-of-the-art technology, including the B300 chips, enabling us to push the limits of video AI capabilities.We celebrate diversity and believe that the unique journeys of each individual contribute to our innovative culture. We are in search of passionate individuals who resonate with our mission and are eager to drive technological transformation. Join us in reshaping the future of video understanding and multimodal AI.Team OverviewThe Pegasus team is central to TwelveLabs' video comprehension capabilities, spearheading our Video Analysis product. We focus on creating advanced multimodal video analysis systems that excel in instruction adherence and yield complex, hierarchically structured outputs. Our mission is to deliver products with tangible real-world applications, working collaboratively across functional teams of ML researchers and engineers.Our initiatives encompass various challenges, including large-scale distributed training of multimodal LLMs, precise temporal segmentation, and robust metadata extraction for practical applications, extending temporal context to several hours, alongside data curation processes that enhance evaluation and performance through improved training data.Our team leverages cutting-edge hardware, such as NVIDIA B300s, to accelerate the transition from research to production, ensuring swift and effective deployment of our innovations.
About the Team You'll Join- The Infra Engineering Tribe is an engineering organization at Toss that designs and operates the network, systems, and infrastructure to ensure the stable operation of various Toss services.- The Systems Engineer team goes beyond mere maintenance; we fundamentally improve infrastructure structures, eliminate root causes of failures, and establish infrastructure strategies suitable for the introduction of new services and technologies.- Our goal is to ensure that all Toss services possess scalability and stability.The Challenges We're Tackling Together- We operate a large-scale on-premises infrastructure that reliably processes millions of financial transactions.- We design computing environments for diverse workloads (GPU, analytics, ML, etc.).- We analyze root causes during incidents and prevent recurrence through structural improvements.- We design and standardize service architectures that guarantee high availability and scalability.- We operate and optimize data infrastructures based on DW, Data Mart, and Data Lake.- We plan and internalize operational tools, automation, and monitoring systems.Your Responsibilities Upon Joining Us- You will design, build, and reliably operate on-premises-based infrastructure.- You will define issues in complex infrastructure environments and derive optimal solutions.- You will lead system improvements while collaborating with various teams such as data, platform, and security.We're Looking for Someone Who- Has experience operating large-scale Linux servers and network infrastructure.- Is proficient in quickly identifying issues and designing structural solutions.- Has experience in operational automation using scripts such as Python and Bash.- Has experience responding to incidents using open-source monitoring and logging tools.- Can effectively communicate and collaborate with diverse stakeholders. GPU and ML Infrastructure Experience- Experience operating and enhancing GPU Clusters (Slurm, Kubernetes, etc.) is a plus.- Experience supporting ML Ops environments with tools like Kubeflow, MLflow, Airflow is favorable.- Experience with scheduling, monitoring, and resource optimization for AI/ML workloads is advantageous. Data Infrastructure Experience- Experience operating Data Warehouses, Data Marts, and Data Lakes is a plus.- Experience managing distributed data processing infrastructure based on Hadoop and Spark is advantageous.- Experience designing and enhancing hardware for large-scale data processing systems is a plus.- Experience operating Kafka-based data pipeline infrastructure and responding to incidents is beneficial.# Resume Recommendations- Please provide detailed examples of at least two complex problems you defined and solved (focusing on root cause analysis, solution approaches, results, and infrastructure changes).- Detail the projects you contributed to (including project duration, role, technologies used, infrastructure structure, and improvements made).# Journey to Joining Toss- Application Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Discussion > Final Acceptance and Onboarding.# A Message for Future Colleagues> "You can experience all aspects of being a System Engineer."- We are looking for individuals who can face complex problems, define them clearly, and solve them optimally. If you want to help innovate infrastructure at Toss, please apply now!
Job ResponsibilitiesStay abreast of cutting-edge AI research trends, including LLM, Agentic AI, Diffusion, and Inference acceleration, and explore integration opportunities with our proprietary NPU.Lead groundbreaking AI research aimed at publication in top-tier academic conferences.Forge research collaborations with prestigious global institutions and manage associated projects.
Join Our Team The System Engineer at Toss Securities is part of the System Engineering Team alongside InfraOps Engineers. We build and support systems for both external and internal clients, managing our data center infrastructure. Our team collaborates with top talent in various domains like finance, commerce, portals, and gaming. We aim to support product focus by developing infrastructure that can handle large-scale traffic, while also pushing for automation to accelerate product delivery. Key Responsibilities Manage servers, operating systems, SAN, storage, and backup systems, ensuring robust infrastructure for customer service systems. Allocate necessary server equipment and integrate services when launching new offerings. Operate and manage both IDC and public cloud infrastructure. Who We Want 5+ years of experience in system engineering on Linux OS environments. Proficient in scripting languages (Shell, Python, Perl, Ruby, etc.) to facilitate infrastructure operations in collaboration with developers. Experience in architecting and managing public cloud platforms (AWS). Strong handling of Linux systems and a solid understanding of business implications relevant to our services. Experience in building and operating system automation deployment solutions is a plus. Application Tips Detail two memorable instances of technical problem resolution (e.g., optimization, bug fixes). Provide detailed accounts of projects you've contributed to, including duration, role, tech stack used, and improvements achieved. List the versions of the OS and key solutions you have managed. Journey to Joining Toss Securities Application Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation > Final Offer and Onboarding
About the Team The Sales Platform Team at Toss focuses on developing the technology that supports Toss’s B2B business. The team works to create and maintain systems that help drive business growth. Role Overview The Sales Systems Engineer will work hands-on with sales-related platforms, including Salesforce. This position plays a key part in shaping the tools that support sales operations and data management. Main Responsibilities Work directly with sales systems, such as Salesforce, to support business goals Partner with Business Analysts to design and build data infrastructure for extracting business insights Manage and maintain sales data for the company Location This role is based in Seoul.
About UsAt Twelve Labs, we are on the hunt for talented individuals who are eager to shape the global standard for video understanding AI!We are developing cutting-edge AI models specifically tailored for video content, enabling advanced functionalities such as search, analysis, summarization, and insights generation from vast video datasets.Our technology is utilized by the largest sports leagues to swiftly and accurately identify highlights from extensive game footage, enhancing the personalized viewing experience. In South Korea, integrated control centers leverage our models to effectively analyze CCTV footage for rapid crisis response, while major global broadcasters and studios use our technology to create content for billions of viewers.As a deep tech startup with offices in San Francisco and Seoul, Twelve Labs has been recognized as one of the top 100 AI startups globally by CB Insights for four consecutive years. We have raised over $110 million from renowned venture capital firms and companies such as NVIDIA, NEA, Index Ventures, Databricks, and Snowflake. Our AI model is uniquely offered through Amazon Bedrock in South Korea, and we are committed to creating innovative products alongside exceptional colleagues while growing with our global clientele.At Twelve Labs, we operate based on core values that include:Honesty and introspection towards oneself and the team.Resilience and humility in the face of failure and feedback.A commitment to continuous learning and elevating team capabilities together.If you enjoy solving challenging problems and growing alongside your team, this is the opportunity for you at Twelve Labs!Team OverviewYou will join the team responsible for the research and development of Marengo, our multimodal embedding model. This innovative model integrates various modalities, including video, audio, and text, into a unified embedding space.The team tackles diverse research topics, including contrastive learning, temporal video understanding, and multimodal representation learning. We oversee the entire model development process, from building large-scale learning data pipelines to designing model architectures, optimizing distributed learning, and creating evaluation frameworks. With access to top-tier GPU resources such as the NVIDIA B300, we can rapidly conduct large-scale experiments.In an environment with a short gap between research and production, we closely collaborate with the Search, Product, and Infrastructure teams to continuously enhance the quality of models used by thousands of clients worldwide.Role OverviewAs the ML Research Engineering Manager on the Marengo team, you will lead and develop the research engineering group responsible for Twelve Labs' multimodal embedding models. You will own the technical roadmap for the team and support the growth of its engineers.This is a player-coach role where you will manage a team of ML research engineers focused on model architecture, training infrastructure, and data pipelines while remaining technically engaged enough to make sound architectural decisions and assess research directions. We seek someone who has experience building and deploying production ML systems and is eager to amplify their impact by empowering their team.
Role SummaryAs a Principal Engineer in Systems Design Engineering, you will take full ownership of the end-to-end PCIe system design for our NVMe SSD product line. This encompasses client laptops and enterprise servers, guiding the process from PHY/MAC review through ASIC/SoC integration, PCIe SFR/register analysis, and establishing firmware design guidelines that ensure robust link training, link transitions, and low-power behavior. This pivotal role sits at the intersection of PCIe specification compliance, NVMe operational behavior, firmware architecture, platform interoperability, and power/performance optimization.Key Responsibilities· Lead the architecture of system-level PCIe Gen5/Gen6 from an NVMe SSD endpoint perspective.· Define and oversee PCIe + NVMe integration across various SSD products.· Conduct PHY + MAC IP reviews, establishing integration requirements and constraints.· Manage SoC/ASIC integration, including clocks, resets, power domains, straps, lane mapping, and sidebands.· Develop PCIe SFR + firmware guidelines covering flow control, LTSSM observability, power states, and error handling.· Oversee link and low power transitions, including DLRM, L1, L1SS, L0p, ASPM, clock-down, and APST coordination.· Facilitate bring-up and debugging processes: enumeration, speed negotiation, width detection, stability, and AER/error recovery.· Tune customer requirements focusing on latency/power, performance, reliability, and consistency.· Provide expert knowledge regarding PCIe configuration and extended capability registers.· Act as the technical authority for cross-team and customer escalations.Detailed Responsibilities (End-to-End PCIe for NVMe SSD)1. PHY/MAC IP Review (System Design Perspective)· Understand criteria for PHY/MAC/controller IP, including Gen5/Gen6 readiness and equalization capability.· Review IP documents for compliance features and link speed support.· Specify platform-facing requirements such as retimer/redriver compatibility.2. ASIC/SoC Integration Ownership· Integrate PCIe subsystems focusing on clock handling, reset behavior, and power domains.· Define lane policies for NVMe, including width detection and recovery strategies.
About the Team You'll Join The System Engineer at Toss Securities is a part of the System Engineering Team alongside the InfraOps Engineer. We build and support systems for both external and internal customers while managing our IDC. Our collaborative team consists of exceptional members from various fields including finance, commerce, portals, and gaming. With a focus on 'supporting everything so that we can concentrate solely on the product', we strive to establish infrastructure capable of handling large-scale traffic and are actively pursuing automation to facilitate faster product releases. Your Responsibilities Design, implement, and optimize virtualization infrastructure using VMware and KVM. Conduct ongoing research and testing to provide KVM infrastructure within Kubernetes environments. Collaborate with the service part of System Engineering to deliver virtualization infrastructure and troubleshoot issues as they arise. Design and optimize key architectures related to virtualization, including networking, storage, and computing. Design and operate monitoring solutions such as logging and metric collection, and research automation for data collection. Who We Want to Work With Deep understanding of the fundamental concepts of virtualization technology and its optimization. Experience operating both commercial and open-source virtualization solutions is a plus. Hands-on experience with Kubernetes and troubleshooting within its environment is preferred. Experience in monitoring visualization and related research is advantageous. A passion for learning new technologies and actively applying them in operational settings is desired. Experience not only with virtualization infrastructure but also in service operations is a benefit. Resume Recommendations Please detail two memorable instances of technical problem-solving (optimization, bug fixes, etc.). Describe your contributions to projects in detail (project duration, role, technology stack used, improvements made before and after the project). List the versions of the OS and major solutions you have worked with. Journey to Joining Toss Securities Application submission > Job interview > Cultural fit interview > Reference check > Salary negotiation > Final acceptance and onboarding. Please Note If any false information is discovered in your resume or if any disciplinary issues arise during your employment history, your application may be canceled. According to Toss Securities regulations, applicants who are prohibited from hiring or have disqualifying factors may also have their applications canceled. Disabled individuals and veterans will be given preference in accordance with relevant laws. A Note for Future Colleagues"You can experience everything a System Engineer does."- I worked as a System Engineer in a mobile service company handling massive traffic before joining Toss Securities. In my previous role, I supported numerous platforms, but while working at Toss Securities, I realized that I had been operating without understanding the fundamental principles behind the infrastructure systems. At Toss Securities, we closely collaborate with various departments within the infrastructure. As a System Engineer, I have come to understand the overall architecture and learned various technologies that have illuminated the principles of infrastructure systems. I highly recommend Toss Securities to those System Engineers who want to avoid complacency, love their work, and wish to make a quantum leap in their careers within the best environment for engineers!
Who will you collaborate with?As a valued member of our team, reporting directly to the Sales Director, you will closely engage with the local sales and field service teams, as well as the project team at our Sisco facility. Your primary focus will be on brake systems, encompassing various responsibilities such as sales, business development, project management, and providing engineering support for Hyundai Rotem. How will you make an impact?In this role within the OE Sales team, you will spearhead project sales of brake systems to our clients. You'll coordinate with our Sisco to ensure product suitability for project specifications, address technical challenges with customers, and cultivate long-term relationships. A glimpse into your daily responsibilities:Manage all sales operations for the brake systems business;Lead local project initiatives, ensuring they align with our company's strategic goals;Identify and pursue business development opportunities to meet sales targets;Promote Faiveley Transport’s comprehensive engineering solutions, including services and products for the designated product line;Define engineering requirements based on customer needs and facilitate technical coordination with our HQ and SisCos in Europe;Assist local customers with the application of products within Brake Systems, Air Generation & Dryer, Actuator, and Pneumatic Valves;Address customer quality concerns and liaise with manufacturing sites to resolve issues;Collaborate with customers’ engineering, design, maintenance, project management, and procurement teams to explore new business avenues;Serve as the main point of contact between customers and our SisCo in Shanghai and Europe to ensure technical coordination;Maintain databases and support payment collection efforts;Regularly meet with customers to understand their needs and requirements;Some business travel may be necessary. Key Technical Responsibilities:Define the functions of brake systems at the train level and lead engineering studies to achieve performance targets;Prepare technical proposals and system documentation, including requirements specifications and schematics;Define and conduct commissioning tests for brake systems;Carry out functional and software verification testing;Conduct system-level Failure Modes Effects and Criticality Analysis (FMECA);Collaborate with the HQ engineering team on brake calculations;Support final assembly and verify designs through both static and dynamic tests. What we are looking for:A degree in Mechanical or Electrical Engineering or a related discipline;Strong communication skills and ability to work collaboratively in a team environment;Proven problem-solving abilities in a technical context.
About TwelveLabs TwelveLabs builds advanced multimodal foundation models for video comprehension, aiming to create machine understanding of video that approaches human-level insight. The company’s technology has set new standards in video-language modeling, opening new ways for organizations to analyze and interact with media. Supported by $107 million in funding from investors such as NVIDIA's NVentures, NEA, Radical Ventures, and Index Ventures, along with leading AI experts like Fei-Fei Li, Silvio Savarese, and Alexandr Wang, TwelveLabs is headquartered in San Francisco and maintains a strong presence in APAC, especially in Seoul. The team values diverse backgrounds and experiences, believing these differences drive innovation and challenge conventional thinking. Role Overview: Account Executive, Video Intelligence – APAC This Seoul-based role focuses on expanding TwelveLabs’ reach and revenue across the APAC region. Korea is a primary market, but the scope includes growth in Japan, Singapore, Malaysia, India, and beyond. The company already works with organizations such as SBS, Getty Images, and UNICEF in Korea, and partners with global leaders in media and sports, including the NFL, MLSE, Protege, and Air. What You Will Do Shape and execute the go-to-market strategy for APAC, with a strong focus on Korea and neighboring markets. Drive new business and revenue growth across established verticals like Media & Entertainment, as well as emerging areas such as ad tech, e-commerce, sports, and gaming. Lead the full sales cycle: identify prospects, understand customer needs, collaborate with product teams to develop solutions, and manage deals through to contract signing. Build and maintain trust with customers, partners, and internal teams to establish TwelveLabs as a leader in video AI solutions. Who Thrives Here Business developers who are motivated to build new markets and categories. Professionals who enjoy understanding customer challenges and working cross-functionally to address them. Individuals who value collaboration, ownership, and making a tangible impact in a growing company. TwelveLabs welcomes candidates who are eager to contribute to the future of video understanding and multimodal AI in APAC.
*This position is exclusively available to candidates residing in South Korea.*About Euromonitor InternationalAs a global leader in market data analytics and research, Euromonitor International provides unparalleled insights and data on various markets, industries, economies, and consumer behaviors. Our comprehensive analysis serves thousands of products and services, making us the premier choice for organizations pursuing growth. With our expertise, clients can confidently make bold, strategic decisions.Role OverviewAs the Research Manager at our Seoul office, you will lead a talented team of analysts dedicated to delivering high-quality local insights and impactful client narratives. This role places a strong emphasis on effective team management, operational excellence, and promoting a collaborative work environment across various functions. You will act as a crucial link between your team and various departments, including Regional, Client Support, and Foundational Data teams, driving organizational goals and strategic initiatives.Key ResponsibilitiesTeam LeadershipMentorship and Development: Recruit, train, and mentor a diverse team of analysts, fostering professional growth and enhancing industry expertise and cross-functional collaboration.Performance Management: Conduct regular evaluations, provide constructive feedback, and recognize achievements to motivate high performance.Fostering Collaboration: Create a culture of teamwork, open communication, and accountability, ensuring close collaboration with Regional and Client Support teams. Project OversightStrategic Planning: Plan and prioritize multiple research projects, ensuring adherence to methodologies, deadlines, and quality standards.Monitoring and Delivery: Supervise research workflows, monitor progress, and proactively address potential issues to ensure projects are completed on time and meet high standards. Client Engagement and Relationship ManagementClient Interaction: Dedicate at least 20% of your time to leading client engagements for specific accounts, guiding your team in identifying opportunities to deepen client relationships and drive business growth.Client Concerns: Serve as the primary point of escalation for client issues, providing solutions and maintaining high levels of client satisfaction.Actionable Insights: Collaborate with the Client Support team to convert client queries into actionable opportunities, enhancing engagement and fostering mutual growth.
Key ResponsibilitiesSpearhead the design of AI system PCBs.Create and refine schematics while providing layout consultation for PCBs.Analyze and offer insights on PCB signal integrity and power integrity.Essential QualificationsBachelor's degree in Electrical or Electronics Engineering.5 to 10 years of relevant industry experience.In-depth knowledge of passive components, DC-DC converters, LDOs, NOR-flash, DDR, and logic gates.Proficient in Allegro software for PCB design.Strong understanding of PCB stack-up configurations.Experienced in using measurement equipment effectively.Preferred QualificationsSolid understanding and hands-on experience with various VRM topologies.Comprehensive knowledge of passive components.Extensive experience in power supply system design.Experience with PCB-level power integration.Familiarity with circuit simulation tools such as SIMPLIS, Allegro, and HSPICE.Knowledge of high-speed circuit design principles.Contact Informationrecruit@furiosa.ai
Role Overview Toss Careers is hiring a Systems Engineer to strengthen our backup infrastructure in Seoul. This position focuses on building, maintaining, and improving backup systems that protect critical data and support business continuity. What You Will Do Design, implement, and maintain backup solutions to safeguard company data Work with teams across the company to troubleshoot and resolve backup-related issues Monitor and optimize backup system performance Identify areas for improvement and help refine backup processes over time Location This role is based in Seoul.
Join Us at Twelve LabsAt Twelve Labs, we are at the forefront of developing revolutionary multimodal foundation models that interpret videos with human-like understanding. Our cutting-edge models have set new benchmarks in video-language modeling, enhancing our capabilities in analyzing and interacting with diverse media forms.Backed by over $110 million in …
About UsAt TwelveLabs, we are at the forefront of creating innovative multimodal foundation models that can interpret videos with human-like understanding. Our groundbreaking models elevate the standards in video-language modeling, enabling intuitive interactions and comprehensive analyses of diverse media formats.With over $110 million secured in Seed and Series A funding, we are supported by leading venture capital firms such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, along with esteemed AI pioneers like Fei-Fei Li, Silvio Savarese, and Alexandr Wang. Our headquarters are based in San Francisco, with a significant presence in Seoul, reflecting our dedication to global innovation.Our collaboration with NVIDIA and AWS grants us access to cutting-edge chips, including B300s, empowering us to expand the possibilities in video AI.We cherish the diverse journeys of our team members, believing that our varied cultural, educational, and life experiences are key to challenging the status quo. We seek passionate individuals eager to impact the technology landscape and help us redefine video understanding and multimodal AI.Team OverviewThe Embedding & Search team is integral to TwelveLabs' video understanding initiatives. We craft unified embedding spaces that encompass video, audio, text, and other modalities, and develop retrieval systems designed to deliver precise results that align with user intent across extensive video catalogs.Our research encompasses a wide array of challenges including multimodal representation learning via contrastive and probabilistic methods, temporal video understanding—focusing on hierarchical segmentation and boundary detection—neural ranking architectures for multi-stage retrieval, and modeling user behavior to gain insights into how users search for and engage with video content. We prioritize both algorithmic advancements that set new benchmarks and human-centric insights that enhance the utility of our systems.Our research team benefits from access to state-of-the-art chips like NVIDIA B300s, which accelerate our research-to-production transitions.
About UsAt Twelve Labs, we are at the forefront of pioneering advanced multimodal foundation models that enable video comprehension akin to human understanding. Our innovative models have set new benchmarks in video-language modeling, granting us enhanced capabilities and transforming media interaction and analysis.With an impressive backing of over $110 million through Seed and Series A funding from esteemed venture capital entities such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, we are guided by influential AI leaders and founders, including Fei-Fei Li, Silvio Savarese, and Alexandr Wang. Our headquarters in San Francisco and significant APAC presence in Seoul emphasize our dedication to global innovation.Our collaborations with NVIDIA and AWS grant us access to state-of-the-art chips, like the B300s, allowing us to expand the horizons of video AI.We celebrate the diversity of each individual’s journey, believing that the variances in our cultural, educational, and life experiences empower us to challenge conventional norms. We seek passionate individuals inspired by our mission to make a meaningful impact in the realm of technology. Join us in revolutionizing video understanding and multimodal AI.Team OverviewThe Pegasus team is integral to Twelve Labs’ video understanding initiatives, responsible for our flagship Video Analysis product. Our mission is to develop multimodal video analysis systems that excel in instruction-following capabilities and generate complex, hierarchically structured outputs. We prioritize delivering products with tangible real-world impact and operate as a goal-driven, cross-functional team comprising both ML researchers and engineers.Our projects tackle a wide array of challenges, including large-scale distributed training of multimodal LLMs, precise temporal segmentation, structured metadata extraction for practical applications, and enhancing temporal context lengths to several hours. We focus on data curation processes that enable aligned evaluation and performance improvements through enhanced training data.Our team is equipped with the world’s most advanced chips, including NVIDIA B300s, to expedite our research-to-production cycle, driving rapid advancements in video analysis systems.
Who We AreAt TwelveLabs, we are at the forefront of developing innovative multimodal foundation models that enable video comprehension akin to human understanding. Our models have set new benchmarks in video-language modeling, enhancing our capability to interact with and analyze diverse media formats.Backed by over $110 million in Seed and Series A funding from renowned venture capital firms including NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, as well as influential AI pioneers like Fei-Fei Li and Alexandr Wang, we are located in San Francisco and have a significant presence in APAC, particularly in Seoul, reinforcing our mission to drive global innovation.Our collaborations with NVIDIA and AWS provide access to state-of-the-art chips, such as the B300s, empowering us to push the frontiers of video AI.We embrace the individuality of each team member's journey, recognizing that our diverse cultural, educational, and life experiences fuel our ability to challenge the status quo. We seek passionate individuals aligned with our mission to make a meaningful impact as we advance technology to reshape the world. Join us in revolutionizing video understanding and multimodal AI.About the TeamThe Pegasus team is integral to TwelveLabs’ video understanding initiatives, leading the development of Pegasus, our Video Analysis product. Our aim is to create multimodal video analysis systems that excel in high instruction-following capabilities and deliver complex, hierarchically structured outputs. We prioritize the delivery of products that provide real-world value, collaborating in a goal-driven, cross-functional environment that unites ML researchers and engineers.Our responsibilities span a wide array of challenges, including large-scale distributed training of multi-modal LLMs, precise temporal segmentation, structured metadata extraction for practical applications, and enhancing training data for performance improvements.Our team leverages advanced chips, including NVIDIA B300s, to expedite our research-to-production transition, ensuring swift advancements in video analysis systems.
Coupang Logistics Services (CLS) is a subsidiary of Coupang specializing in end-to-end logistics across South Korea. The company manages parcel delivery, freight transport, cargo forwarding, warehousing, and cargo classification. CLS is recognized as a designated parcel transport provider by the Ministry of Land, Infrastructure and Transport. Its operations rely on dedicated sorting teams and professional delivery staff, called Coupang Friends, who support delivery camps throughout the country. This network is essential to the reliability of Coupang's Rocket Delivery service. CLS invests in logistics solutions to enhance customer satisfaction, drawing on operational expertise and the infrastructure supporting Rocket Delivery. The company focuses on continuous improvement and innovation within the logistics sector.
Join Our Mission to Conquer Cancer Through AILunit, a leading medical AI software company dedicated to transforming cancer care through innovative AI solutions, is seeking a Senior Applied Research Scientist. Our technology aids in cancer detection and treatment outcome predictions, ensuring patients receive timely and personalized care. Team DynamicsYou will collaborate with a dynamic team of AI research scientists and engineers within our Oncology AI Research Department, passionately pursuing meaningful applied research that impacts lives.Our diverse team brings together various cultural backgrounds and expertise, fostering a culture of sharing and collaboration, whether through engineering, model-centric, or data-centric AI initiatives. Position HighlightsYour contributions will directly influence our mission to enhance cancer treatment personalization, with our world-class software utilized in hospitals and pharmaceutical companies globally.Engage in cutting-edge projects encompassing object detection, semantic segmentation, self-supervised learning, and more, leveraging extensive datasets and cloud computing capabilities.Participate in community engagement through publications, blog posts, and public events like machine learning challenges.Grow both personally and professionally by working on diverse projects and collaborating with a talented, multidisciplinary team. Key ResponsibilitiesDesign, propose, and implement advanced AI models that tackle real-world challenges in cancer diagnostics and treatment planning.
Lunit, based in Seoul, is a healthcare AI company dedicated to improving cancer diagnosis and treatment. The team creates AI tools that help clinicians make precise diagnoses and predict how patients will respond to therapies, with the goal of advancing personalized care. This role is open to candidates living in Korea who have business-level Korean proficiency. Team Overview The Biomedical Research Team (BMRS) is part of Lunit's Oncology Group. BMRS connects AI research with clinical practice by running exploratory and data-driven studies that test AI models in real-world settings. The team works closely with clinicians, product development, MLOps, and platform engineering to turn research into products that support patient care. Role Overview The Biomedical Research Scientist - Precision Oncology will focus on developing predictive models for Lunit's AI biomarker platform using patient tissue slide images. The position involves building metrics from digital pathology images, validating their clinical relevance, and contributing to translational research. Collaboration with clinicians, engineers, and product teams is central to ensuring research findings inform clinical decisions. Key Responsibilities Design, develop, implement, and evaluate image-based companion diagnostics biomarker models for personalized treatment decisions. Translate biological and clinical requirements into scalable machine learning and AI solutions in partnership with clinicians, engineers, and product teams. Lead experimental design and analysis, including idea generation, documentation, and reporting. Conduct clinical research to ensure validity and reproducibility of results. Present and publish research findings through abstracts, papers, and conferences. Required Qualifications Bachelor's degree in a relevant field with over 3 years of experience, or a Master's degree or higher in Bioinformatics, Computational Biology, Biomedical Science, Biomedical Engineering, Biology, Medicine, Computer Science, Statistics, or a related area. Experience developing machine learning models and deploying them in production or research environments. Background in data integration, machine learning applications, and statistical analysis (including statistical tests and evaluation metrics). Proficiency in Python and machine learning frameworks, with the ability to develop data pipelines. Strong communication skills for effective collaboration across teams. Preferred Qualifications PhD in a related field (Bioinformatics, Computational Biology, Biomedical Science, Biomedical Engineering, Biology, Medicine, Computer Science, Statistics, or similar). Research achievements in deep learning, machine learning, or applied statistical learning in biology, such as publications, open-source contributions, or product launches. Expertise in cancer genomics, spatial genomics, or multi-omics data analysis. Experience in cancer biology, immunology, digital pathology, or medical image analysis. At least 2 years of experience in computer vision or machine learning, or relevant research experience. Background in clinical research and applying complex machine learning techniques systematically. Experience integrating and analyzing large-scale or high-dimensional medical data. Strong problem-solving, planning, and project management skills. Application Materials Resume (any format) Portfolio (optional): Should outline objectives, execution details, personal contributions, and outcomes of research and development projects. Interview Process Document Screening Competency-based Interview 1 Competency-based Interview 2 Culture-fit Interview Onboarding Reference checks may be conducted after the final interview if needed. Working Conditions Employment type: Full-time Work location: Lunit Headquarters, 5th floor, Case Square Gangnam, 374 Gangnam-daero, Gangnam-gu, Seoul Salary: Determined after the interview Additional Information Providing false information in application documents may result in disqualification, even after hiring confirmation.
About UsAt TwelveLabs, we are at the forefront of creating innovative multimodal foundation models that empower machines to understand videos as humans do. Our groundbreaking models have set new benchmarks in video-language modeling, enhancing our analytical capabilities and revolutionizing media interaction.With over $110 million raised in Seed and Series A funding, we are supported by leading venture capital firms, including NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, alongside esteemed AI pioneers like Fei-Fei Li and Silvio Savarese. Headquartered in San Francisco, we also boast a significant presence in Seoul, reflecting our dedication to global innovation.Our strategic alliances with NVIDIA and AWS provide us access to state-of-the-art technology, including the B300 chips, enabling us to push the limits of video AI capabilities.We celebrate diversity and believe that the unique journeys of each individual contribute to our innovative culture. We are in search of passionate individuals who resonate with our mission and are eager to drive technological transformation. Join us in reshaping the future of video understanding and multimodal AI.Team OverviewThe Pegasus team is central to TwelveLabs' video comprehension capabilities, spearheading our Video Analysis product. We focus on creating advanced multimodal video analysis systems that excel in instruction adherence and yield complex, hierarchically structured outputs. Our mission is to deliver products with tangible real-world applications, working collaboratively across functional teams of ML researchers and engineers.Our initiatives encompass various challenges, including large-scale distributed training of multimodal LLMs, precise temporal segmentation, and robust metadata extraction for practical applications, extending temporal context to several hours, alongside data curation processes that enhance evaluation and performance through improved training data.Our team leverages cutting-edge hardware, such as NVIDIA B300s, to accelerate the transition from research to production, ensuring swift and effective deployment of our innovations.
About the Team You'll Join- The Infra Engineering Tribe is an engineering organization at Toss that designs and operates the network, systems, and infrastructure to ensure the stable operation of various Toss services.- The Systems Engineer team goes beyond mere maintenance; we fundamentally improve infrastructure structures, eliminate root causes of failures, and establish infrastructure strategies suitable for the introduction of new services and technologies.- Our goal is to ensure that all Toss services possess scalability and stability.The Challenges We're Tackling Together- We operate a large-scale on-premises infrastructure that reliably processes millions of financial transactions.- We design computing environments for diverse workloads (GPU, analytics, ML, etc.).- We analyze root causes during incidents and prevent recurrence through structural improvements.- We design and standardize service architectures that guarantee high availability and scalability.- We operate and optimize data infrastructures based on DW, Data Mart, and Data Lake.- We plan and internalize operational tools, automation, and monitoring systems.Your Responsibilities Upon Joining Us- You will design, build, and reliably operate on-premises-based infrastructure.- You will define issues in complex infrastructure environments and derive optimal solutions.- You will lead system improvements while collaborating with various teams such as data, platform, and security.We're Looking for Someone Who- Has experience operating large-scale Linux servers and network infrastructure.- Is proficient in quickly identifying issues and designing structural solutions.- Has experience in operational automation using scripts such as Python and Bash.- Has experience responding to incidents using open-source monitoring and logging tools.- Can effectively communicate and collaborate with diverse stakeholders. GPU and ML Infrastructure Experience- Experience operating and enhancing GPU Clusters (Slurm, Kubernetes, etc.) is a plus.- Experience supporting ML Ops environments with tools like Kubeflow, MLflow, Airflow is favorable.- Experience with scheduling, monitoring, and resource optimization for AI/ML workloads is advantageous. Data Infrastructure Experience- Experience operating Data Warehouses, Data Marts, and Data Lakes is a plus.- Experience managing distributed data processing infrastructure based on Hadoop and Spark is advantageous.- Experience designing and enhancing hardware for large-scale data processing systems is a plus.- Experience operating Kafka-based data pipeline infrastructure and responding to incidents is beneficial.# Resume Recommendations- Please provide detailed examples of at least two complex problems you defined and solved (focusing on root cause analysis, solution approaches, results, and infrastructure changes).- Detail the projects you contributed to (including project duration, role, technologies used, infrastructure structure, and improvements made).# Journey to Joining Toss- Application Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Discussion > Final Acceptance and Onboarding.# A Message for Future Colleagues> "You can experience all aspects of being a System Engineer."- We are looking for individuals who can face complex problems, define them clearly, and solve them optimally. If you want to help innovate infrastructure at Toss, please apply now!
Job ResponsibilitiesStay abreast of cutting-edge AI research trends, including LLM, Agentic AI, Diffusion, and Inference acceleration, and explore integration opportunities with our proprietary NPU.Lead groundbreaking AI research aimed at publication in top-tier academic conferences.Forge research collaborations with prestigious global institutions and manage associated projects.
Join Our Team The System Engineer at Toss Securities is part of the System Engineering Team alongside InfraOps Engineers. We build and support systems for both external and internal clients, managing our data center infrastructure. Our team collaborates with top talent in various domains like finance, commerce, portals, and gaming. We aim to support product focus by developing infrastructure that can handle large-scale traffic, while also pushing for automation to accelerate product delivery. Key Responsibilities Manage servers, operating systems, SAN, storage, and backup systems, ensuring robust infrastructure for customer service systems. Allocate necessary server equipment and integrate services when launching new offerings. Operate and manage both IDC and public cloud infrastructure. Who We Want 5+ years of experience in system engineering on Linux OS environments. Proficient in scripting languages (Shell, Python, Perl, Ruby, etc.) to facilitate infrastructure operations in collaboration with developers. Experience in architecting and managing public cloud platforms (AWS). Strong handling of Linux systems and a solid understanding of business implications relevant to our services. Experience in building and operating system automation deployment solutions is a plus. Application Tips Detail two memorable instances of technical problem resolution (e.g., optimization, bug fixes). Provide detailed accounts of projects you've contributed to, including duration, role, tech stack used, and improvements achieved. List the versions of the OS and key solutions you have managed. Journey to Joining Toss Securities Application Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation > Final Offer and Onboarding
About the Team The Sales Platform Team at Toss focuses on developing the technology that supports Toss’s B2B business. The team works to create and maintain systems that help drive business growth. Role Overview The Sales Systems Engineer will work hands-on with sales-related platforms, including Salesforce. This position plays a key part in shaping the tools that support sales operations and data management. Main Responsibilities Work directly with sales systems, such as Salesforce, to support business goals Partner with Business Analysts to design and build data infrastructure for extracting business insights Manage and maintain sales data for the company Location This role is based in Seoul.
About UsAt Twelve Labs, we are on the hunt for talented individuals who are eager to shape the global standard for video understanding AI!We are developing cutting-edge AI models specifically tailored for video content, enabling advanced functionalities such as search, analysis, summarization, and insights generation from vast video datasets.Our technology is utilized by the largest sports leagues to swiftly and accurately identify highlights from extensive game footage, enhancing the personalized viewing experience. In South Korea, integrated control centers leverage our models to effectively analyze CCTV footage for rapid crisis response, while major global broadcasters and studios use our technology to create content for billions of viewers.As a deep tech startup with offices in San Francisco and Seoul, Twelve Labs has been recognized as one of the top 100 AI startups globally by CB Insights for four consecutive years. We have raised over $110 million from renowned venture capital firms and companies such as NVIDIA, NEA, Index Ventures, Databricks, and Snowflake. Our AI model is uniquely offered through Amazon Bedrock in South Korea, and we are committed to creating innovative products alongside exceptional colleagues while growing with our global clientele.At Twelve Labs, we operate based on core values that include:Honesty and introspection towards oneself and the team.Resilience and humility in the face of failure and feedback.A commitment to continuous learning and elevating team capabilities together.If you enjoy solving challenging problems and growing alongside your team, this is the opportunity for you at Twelve Labs!Team OverviewYou will join the team responsible for the research and development of Marengo, our multimodal embedding model. This innovative model integrates various modalities, including video, audio, and text, into a unified embedding space.The team tackles diverse research topics, including contrastive learning, temporal video understanding, and multimodal representation learning. We oversee the entire model development process, from building large-scale learning data pipelines to designing model architectures, optimizing distributed learning, and creating evaluation frameworks. With access to top-tier GPU resources such as the NVIDIA B300, we can rapidly conduct large-scale experiments.In an environment with a short gap between research and production, we closely collaborate with the Search, Product, and Infrastructure teams to continuously enhance the quality of models used by thousands of clients worldwide.Role OverviewAs the ML Research Engineering Manager on the Marengo team, you will lead and develop the research engineering group responsible for Twelve Labs' multimodal embedding models. You will own the technical roadmap for the team and support the growth of its engineers.This is a player-coach role where you will manage a team of ML research engineers focused on model architecture, training infrastructure, and data pipelines while remaining technically engaged enough to make sound architectural decisions and assess research directions. We seek someone who has experience building and deploying production ML systems and is eager to amplify their impact by empowering their team.
Role SummaryAs a Principal Engineer in Systems Design Engineering, you will take full ownership of the end-to-end PCIe system design for our NVMe SSD product line. This encompasses client laptops and enterprise servers, guiding the process from PHY/MAC review through ASIC/SoC integration, PCIe SFR/register analysis, and establishing firmware design guidelines that ensure robust link training, link transitions, and low-power behavior. This pivotal role sits at the intersection of PCIe specification compliance, NVMe operational behavior, firmware architecture, platform interoperability, and power/performance optimization.Key Responsibilities· Lead the architecture of system-level PCIe Gen5/Gen6 from an NVMe SSD endpoint perspective.· Define and oversee PCIe + NVMe integration across various SSD products.· Conduct PHY + MAC IP reviews, establishing integration requirements and constraints.· Manage SoC/ASIC integration, including clocks, resets, power domains, straps, lane mapping, and sidebands.· Develop PCIe SFR + firmware guidelines covering flow control, LTSSM observability, power states, and error handling.· Oversee link and low power transitions, including DLRM, L1, L1SS, L0p, ASPM, clock-down, and APST coordination.· Facilitate bring-up and debugging processes: enumeration, speed negotiation, width detection, stability, and AER/error recovery.· Tune customer requirements focusing on latency/power, performance, reliability, and consistency.· Provide expert knowledge regarding PCIe configuration and extended capability registers.· Act as the technical authority for cross-team and customer escalations.Detailed Responsibilities (End-to-End PCIe for NVMe SSD)1. PHY/MAC IP Review (System Design Perspective)· Understand criteria for PHY/MAC/controller IP, including Gen5/Gen6 readiness and equalization capability.· Review IP documents for compliance features and link speed support.· Specify platform-facing requirements such as retimer/redriver compatibility.2. ASIC/SoC Integration Ownership· Integrate PCIe subsystems focusing on clock handling, reset behavior, and power domains.· Define lane policies for NVMe, including width detection and recovery strategies.
About the Team You'll Join The System Engineer at Toss Securities is a part of the System Engineering Team alongside the InfraOps Engineer. We build and support systems for both external and internal customers while managing our IDC. Our collaborative team consists of exceptional members from various fields including finance, commerce, portals, and gaming. With a focus on 'supporting everything so that we can concentrate solely on the product', we strive to establish infrastructure capable of handling large-scale traffic and are actively pursuing automation to facilitate faster product releases. Your Responsibilities Design, implement, and optimize virtualization infrastructure using VMware and KVM. Conduct ongoing research and testing to provide KVM infrastructure within Kubernetes environments. Collaborate with the service part of System Engineering to deliver virtualization infrastructure and troubleshoot issues as they arise. Design and optimize key architectures related to virtualization, including networking, storage, and computing. Design and operate monitoring solutions such as logging and metric collection, and research automation for data collection. Who We Want to Work With Deep understanding of the fundamental concepts of virtualization technology and its optimization. Experience operating both commercial and open-source virtualization solutions is a plus. Hands-on experience with Kubernetes and troubleshooting within its environment is preferred. Experience in monitoring visualization and related research is advantageous. A passion for learning new technologies and actively applying them in operational settings is desired. Experience not only with virtualization infrastructure but also in service operations is a benefit. Resume Recommendations Please detail two memorable instances of technical problem-solving (optimization, bug fixes, etc.). Describe your contributions to projects in detail (project duration, role, technology stack used, improvements made before and after the project). List the versions of the OS and major solutions you have worked with. Journey to Joining Toss Securities Application submission > Job interview > Cultural fit interview > Reference check > Salary negotiation > Final acceptance and onboarding. Please Note If any false information is discovered in your resume or if any disciplinary issues arise during your employment history, your application may be canceled. According to Toss Securities regulations, applicants who are prohibited from hiring or have disqualifying factors may also have their applications canceled. Disabled individuals and veterans will be given preference in accordance with relevant laws. A Note for Future Colleagues"You can experience everything a System Engineer does."- I worked as a System Engineer in a mobile service company handling massive traffic before joining Toss Securities. In my previous role, I supported numerous platforms, but while working at Toss Securities, I realized that I had been operating without understanding the fundamental principles behind the infrastructure systems. At Toss Securities, we closely collaborate with various departments within the infrastructure. As a System Engineer, I have come to understand the overall architecture and learned various technologies that have illuminated the principles of infrastructure systems. I highly recommend Toss Securities to those System Engineers who want to avoid complacency, love their work, and wish to make a quantum leap in their careers within the best environment for engineers!
Who will you collaborate with?As a valued member of our team, reporting directly to the Sales Director, you will closely engage with the local sales and field service teams, as well as the project team at our Sisco facility. Your primary focus will be on brake systems, encompassing various responsibilities such as sales, business development, project management, and providing engineering support for Hyundai Rotem. How will you make an impact?In this role within the OE Sales team, you will spearhead project sales of brake systems to our clients. You'll coordinate with our Sisco to ensure product suitability for project specifications, address technical challenges with customers, and cultivate long-term relationships. A glimpse into your daily responsibilities:Manage all sales operations for the brake systems business;Lead local project initiatives, ensuring they align with our company's strategic goals;Identify and pursue business development opportunities to meet sales targets;Promote Faiveley Transport’s comprehensive engineering solutions, including services and products for the designated product line;Define engineering requirements based on customer needs and facilitate technical coordination with our HQ and SisCos in Europe;Assist local customers with the application of products within Brake Systems, Air Generation & Dryer, Actuator, and Pneumatic Valves;Address customer quality concerns and liaise with manufacturing sites to resolve issues;Collaborate with customers’ engineering, design, maintenance, project management, and procurement teams to explore new business avenues;Serve as the main point of contact between customers and our SisCo in Shanghai and Europe to ensure technical coordination;Maintain databases and support payment collection efforts;Regularly meet with customers to understand their needs and requirements;Some business travel may be necessary. Key Technical Responsibilities:Define the functions of brake systems at the train level and lead engineering studies to achieve performance targets;Prepare technical proposals and system documentation, including requirements specifications and schematics;Define and conduct commissioning tests for brake systems;Carry out functional and software verification testing;Conduct system-level Failure Modes Effects and Criticality Analysis (FMECA);Collaborate with the HQ engineering team on brake calculations;Support final assembly and verify designs through both static and dynamic tests. What we are looking for:A degree in Mechanical or Electrical Engineering or a related discipline;Strong communication skills and ability to work collaboratively in a team environment;Proven problem-solving abilities in a technical context.
About TwelveLabs TwelveLabs builds advanced multimodal foundation models for video comprehension, aiming to create machine understanding of video that approaches human-level insight. The company’s technology has set new standards in video-language modeling, opening new ways for organizations to analyze and interact with media. Supported by $107 million in funding from investors such as NVIDIA's NVentures, NEA, Radical Ventures, and Index Ventures, along with leading AI experts like Fei-Fei Li, Silvio Savarese, and Alexandr Wang, TwelveLabs is headquartered in San Francisco and maintains a strong presence in APAC, especially in Seoul. The team values diverse backgrounds and experiences, believing these differences drive innovation and challenge conventional thinking. Role Overview: Account Executive, Video Intelligence – APAC This Seoul-based role focuses on expanding TwelveLabs’ reach and revenue across the APAC region. Korea is a primary market, but the scope includes growth in Japan, Singapore, Malaysia, India, and beyond. The company already works with organizations such as SBS, Getty Images, and UNICEF in Korea, and partners with global leaders in media and sports, including the NFL, MLSE, Protege, and Air. What You Will Do Shape and execute the go-to-market strategy for APAC, with a strong focus on Korea and neighboring markets. Drive new business and revenue growth across established verticals like Media & Entertainment, as well as emerging areas such as ad tech, e-commerce, sports, and gaming. Lead the full sales cycle: identify prospects, understand customer needs, collaborate with product teams to develop solutions, and manage deals through to contract signing. Build and maintain trust with customers, partners, and internal teams to establish TwelveLabs as a leader in video AI solutions. Who Thrives Here Business developers who are motivated to build new markets and categories. Professionals who enjoy understanding customer challenges and working cross-functionally to address them. Individuals who value collaboration, ownership, and making a tangible impact in a growing company. TwelveLabs welcomes candidates who are eager to contribute to the future of video understanding and multimodal AI in APAC.
*This position is exclusively available to candidates residing in South Korea.*About Euromonitor InternationalAs a global leader in market data analytics and research, Euromonitor International provides unparalleled insights and data on various markets, industries, economies, and consumer behaviors. Our comprehensive analysis serves thousands of products and services, making us the premier choice for organizations pursuing growth. With our expertise, clients can confidently make bold, strategic decisions.Role OverviewAs the Research Manager at our Seoul office, you will lead a talented team of analysts dedicated to delivering high-quality local insights and impactful client narratives. This role places a strong emphasis on effective team management, operational excellence, and promoting a collaborative work environment across various functions. You will act as a crucial link between your team and various departments, including Regional, Client Support, and Foundational Data teams, driving organizational goals and strategic initiatives.Key ResponsibilitiesTeam LeadershipMentorship and Development: Recruit, train, and mentor a diverse team of analysts, fostering professional growth and enhancing industry expertise and cross-functional collaboration.Performance Management: Conduct regular evaluations, provide constructive feedback, and recognize achievements to motivate high performance.Fostering Collaboration: Create a culture of teamwork, open communication, and accountability, ensuring close collaboration with Regional and Client Support teams. Project OversightStrategic Planning: Plan and prioritize multiple research projects, ensuring adherence to methodologies, deadlines, and quality standards.Monitoring and Delivery: Supervise research workflows, monitor progress, and proactively address potential issues to ensure projects are completed on time and meet high standards. Client Engagement and Relationship ManagementClient Interaction: Dedicate at least 20% of your time to leading client engagements for specific accounts, guiding your team in identifying opportunities to deepen client relationships and drive business growth.Client Concerns: Serve as the primary point of escalation for client issues, providing solutions and maintaining high levels of client satisfaction.Actionable Insights: Collaborate with the Client Support team to convert client queries into actionable opportunities, enhancing engagement and fostering mutual growth.
Key ResponsibilitiesSpearhead the design of AI system PCBs.Create and refine schematics while providing layout consultation for PCBs.Analyze and offer insights on PCB signal integrity and power integrity.Essential QualificationsBachelor's degree in Electrical or Electronics Engineering.5 to 10 years of relevant industry experience.In-depth knowledge of passive components, DC-DC converters, LDOs, NOR-flash, DDR, and logic gates.Proficient in Allegro software for PCB design.Strong understanding of PCB stack-up configurations.Experienced in using measurement equipment effectively.Preferred QualificationsSolid understanding and hands-on experience with various VRM topologies.Comprehensive knowledge of passive components.Extensive experience in power supply system design.Experience with PCB-level power integration.Familiarity with circuit simulation tools such as SIMPLIS, Allegro, and HSPICE.Knowledge of high-speed circuit design principles.Contact Informationrecruit@furiosa.ai
Role Overview Toss Careers is hiring a Systems Engineer to strengthen our backup infrastructure in Seoul. This position focuses on building, maintaining, and improving backup systems that protect critical data and support business continuity. What You Will Do Design, implement, and maintain backup solutions to safeguard company data Work with teams across the company to troubleshoot and resolve backup-related issues Monitor and optimize backup system performance Identify areas for improvement and help refine backup processes over time Location This role is based in Seoul.
