Director of Product Management - Growth Marketing (Machine Learning Products)

Team focus The Growth Marketing organization at Coupang plays a central role in acquiring, converting, and retaining customers. Within this group, the Growth Product & Machine Intelligence team shapes product strategy and execution, working closely with AI/ML Engineering, Data Science, and Analytics partners. Role overview This Director of Product Management…

Role overview The Compiler team at FuriosaAI builds the software stack that enables machine learning models to run efficiently on the company’s AI accelerator hardware. This Software Engineer - Compiler (AX Engineer) role is a new position based at the Seoul headquarters. The focus is on developing and refining AI-assisted engineering workflows, identifying bottlenecks, running experiments, and building tools and guides that the team can use repeatedly. While the role is part of the Compiler team, deep compiler expertise is not required. Daily work includes code reviews, debugging, CI and testing, documentation, and project management. This position is a good fit for someone who enjoys shaping new roles and working through open-ended challenges. What you will do Identify challenges and opportunities in engineering workflows, including development, code review, debugging, CI/testing, documentation, and project delivery. Research, prototype, and benchmark AI and automation tools, such as coding agents, LLM-assisted reviews, and debugging assistants, using real team workflows. Create and maintain prompt libraries, workflow templates, and integration guides tailored to team needs. Improve CI/testing feedback and signals with the goal of reducing flaky tests and streamlining failure triage. Lead onboarding sessions and regular Q&A meetings to share knowledge about new tools. Define and track metrics like PR cycle time, review turnaround, regression triage time, and CI flakiness, iterating based on findings and team feedback. Stay current on developments in the AI tooling ecosystem and keep the team informed about relevant updates. Requirements At least 3 years of experience in software engineering. Hands-on experience with LLM-based coding tools (such as GitHub Copilot, Cursor, Claude Code, or Codex). Strong understanding of software development workflows from an engineer’s perspective. Ability to quickly evaluate new tools and provide practical guidance to the team. Preferred qualifications Bachelor’s degree in Computer Science or a related field.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI, providing the essential digital infrastructure required to equip every moving machine on Earth with intelligence. Established in 2017 and currently valued at $15 billion, this Silicon Valley-based firm serves various sectors, including automotive, defense, trucking, construction, mining, and agriculture, through three primary domains: tools and infrastructure, operating systems, and autonomy. Trusted by eighteen of the world's top twenty automotive manufacturers, as well as the United States military and allied forces, Applied Intuition is headquartered in Sunnyvale, California, with a global presence that includes offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.We maintain an in-office work environment, expecting our employees to primarily work from the Applied Intuition office five days a week. We also value flexibility and trust our employees to responsibly manage their schedules, which may include occasional remote work, starting the day with morning meetings from home, or leaving early for family commitments.About SeoulSince entering the Korean market in 2020, Applied Intuition has rapidly expanded its team and forged strategic partnerships with leading Korean automotive OEMs. Our Seoul location, situated in the vibrant Gangnam district, employs over ten talented individuals from prestigious companies such as LG, Ansys, Unity, and more.About the RoleWe are on the lookout for a skilled Application Engineering - Technical Program Manager to lead critical multi-disciplinary engineering initiatives from inception to completion. This role will require strong leadership, communication, planning, and engineering expertise to manage the growing complexity of our product releases and client requests. The ideal candidate will possess extensive experience in guiding complex projects to successful outcomes.

# Join Our Team- The AI Platform team is on a mission to create a platform that enables everyone to use AI technology quickly and reliably. We technically support the use of AI across Toss.- We are developing the necessary tools and platforms for new AI systems such as Retrieval-Augmented Generation, Agents, and Assistants to be rapidly experimented with and reliably operated.- The platform we create is not just a simple toolkit; it is designed with scalability in mind, allowing AI technology to be implemented by more teams effectively.- Addressing unresolved problems means that collaboratively defining and structuring technical directions is crucial.- **Want to learn more about Toss’s data organization?** [→ *Toss Data Division Wiki*](https://recruit-data-division.oopy.io/)# Responsibilities- Integrate LLM-based components such as Retrieval, Generation, and Vector Search into a platform that various teams can reuse.- Provide features that integrate both SaaS and self-hosted LLMs and ensure stable operations.- Design the foundation for creating and experimenting with Agent systems more easily, including prompts, tools, and context configurations.- After experiments, ensure stable operation in the service by systematizing and tooling the serving and operational flow of RAG and Agents.- Develop a foundation to quantitatively evaluate the performance and quality of Agents and provide it as a platform.- Design a common environment and experience to enable rapid experimentation and application of AI systems not only within the team but also across other teams.- Structure unformatted technical elements and create directions that can expand into broader problems.# We Are Looking For- Individuals with experience applying technologies such as LLM, RAG, and Agents to real-world problems.- Those who can technically define unstructured problems and systematically solve them.- Candidates who have collaborated with multiple teams to develop and operate technology as if it were a product.- Those who can quickly adapt to new technological trends and integrate them naturally within the team.- Individuals interested in simplifying complex AI systems into a consistent and straightforward user experience.# Preferred Qualifications- Experience designing RAG components such as Retrieval, Generation, and Vector Search independently and integrating them at the system level.- Experience selecting and operating various LLM serving structures (OpenAI API, HuggingFace, vLLM) tailored to service situations.- Experience structuring various purpose-driven Agents and applying them in service operations is highly welcomed.- Experience proactively designing experimental environments or tools based on the requirements of platform users (internal developers, model engineers, etc.).- Experience creating and operating common platforms or RAG-based systems that can be extended across multiple projects or domains is especially desirable.# Resume Tips- If your past projects had significant impacts on the organization, please detail them.- Rather than just listing languages, platforms, frameworks, or technologies used, provide context about the project's objectives, the methods you employed, and how you solved the problems.- Include experiences where you resolved critical issues during platform operations or optimized performance/resources.- If you have contributed to open source by fixing bugs or enhancing functionalities, please share those experiences.# The Journey to Join Toss- Application submission > Job interview > Cultural fit interview > Reference check > Compensation negotiation > Final acceptance- The job interview will feature in-depth technical interviews focused on ML system design.# A Message for Future Colleagues“We don’t just serve rapidly evolving AI models; we build systems that ensure these models operate stably and are continuously improved.”- The AI Platform team is responsible for the serving, experimenting, and operating infrastructure of various AI technologies such as LLM-based services, RAG systems, and search infrastructure to ensure smooth operation in production environments.- We efficiently manage GPU resources and clusters, utilizing vLLM, Triton, Model Registry, etc., to automate experiments and deployments.

About the RoleJoin FuriosaAI as a Field Application Engineer (FAE), where you will play a pivotal role in connecting our clients with our internal engineering teams. Your expertise will be essential in addressing both hardware and software challenges, primarily focusing on our advanced AI processors, especially within Linux and PCIe-based NPU systems. This position is particularly suited for enthusiastic individuals eager to learn and adapt in the rapidly evolving AI technology landscape.As an FAE, you will work closely with international clients, necessitating strong English communication skills and a willingness to travel globally. Candidates with experience in fabless semiconductor firms or server manufacturing (ODM/OEM), especially in test engineering, are highly favored.If you have a passion for AI hardware and are excited to solve intricate challenges in a dynamic setting, we encourage you to apply.Key ResponsibilitiesCollaborate with customers to identify, analyze, and resolve technical issues in AI hardware and software systems.Provide technical advice on integrating FuriosaAI's AI processors into customer systems, with a focus on PCIe and Linux environments.Conduct product testing, troubleshooting, and debugging to guarantee customer satisfaction.Gather and relay customer feedback to enhance product quality and user experience.Deliver technical training and support to customers throughout and following product deployment.Represent FuriosaAI's solutions at technical meetings, trade shows, and other industry-related events.

Join Wayve as a Principal Application Software Engineer and play a pivotal role in developing cutting-edge applications that shape the future of technology. This position offers an exciting opportunity to influence project directions, mentor junior engineers, and collaborate with cross-functional teams to deliver robust software solutions.As a Principal Engineer, you will leverage your extensive experience in software development to lead initiatives, optimize performance, and ensure high-quality deliverables. Your expertise will be essential in driving innovation and integrating the latest technologies into our platforms.

Join Wayve as an Application Software Engineer and be a part of our innovative journey in shaping the future of autonomous driving technology. This is an exciting opportunity for talented engineers ready to relocate to Tokyo.

Join our innovative team at Fieldguide as an AI Engineer, where you will play a pivotal role in developing advanced AI solutions that drive our business forward. You will work collaboratively with cross-functional teams, utilizing your expertise to design, implement, and optimize machine learning models. Your contributions will significantly enhance our product offerings and improve customer experiences.

About Speechify Speechify builds tools that help people overcome reading barriers and improve how they learn. More than 50 million users turn to our text-to-speech products to listen to content from PDFs, books, Google Docs, news articles, and websites. Our suite spans iOS, Android, Mac, Chrome Extension, and Web App. Google named us Chrome Extension of the Year, and Apple recognized us with the 2025 Design Award for Inclusivity. The team includes nearly 200 professionals working remotely from around the world. Our group brings together frontend and backend engineers, AI researchers, and experts from companies like Amazon, Microsoft, and Google, along with graduates from top schools such as Stanford. Speechify operates fully distributed, with no physical office. Role Overview: Senior Software Engineer – Windows/Desktop Applications This position focuses on building and maintaining native Windows desktop applications at Speechify. The role is based in Seoul, South Korea. What You Will Do Design, architect, and develop native Windows desktop apps using Windows App SDK, WinUI (or similar frameworks), C#, XAML, and occasionally C++. Establish and maintain standards for Windows desktop development, emphasizing code architecture, performance, memory management, responsive UI, cross-version compatibility (Windows 10/11+), and long-term maintainability. Drive accessibility by integrating and validating support for accessibility APIs such as Microsoft UI Automation. Ensure UI controls, focus management, keyboard navigation, and screen reader support meet the needs of users with disabilities. Work closely with product designers, UX researchers, QA, and other stakeholders to shape feature planning, UI/UX architecture, and the roadmap for the Windows platform. Manage the full feature lifecycle: from concept and design through implementation, testing, release, and ongoing maintenance, always focusing on quality and reliability. Troubleshoot and resolve complex bugs, performance bottlenecks, memory leaks, rendering issues, and compatibility challenges. Propose architectural or design solutions as needed.

# About the Team- The Machine Learning Engineer (Commerce AI) position plays a crucial role in addressing various operational and service challenges within the Toss commerce domain using advanced AI technologies.- The team tackles complex issues like operation automation, seller evaluation, product information, and search quality that require sophisticated judgment across the commerce spectrum.- Utilizing a variety of AI technologies such as LLM, RAG, and multimodal models, we design innovative approaches to define and solve problems.- We go beyond simply solving existing issues; we redefine and expand the problems themselves.- **Interested in learning more about Toss's data organization?** [→ *Toss Data Division Wiki*](https://recruit-data-division.oopy.io/)# Responsibilities- Leverage diverse forms of information including text, images, audio, and structured data to model and resolve complex challenges within the commerce domain.- Experiment with large language models (LLM), RAG, and multimodal models to explore new solutions for previously unsolvable tasks.- Investigate opportunities to apply AI to areas that have not been clearly defined before.- Validate the effectiveness of designed models through offline/online experiments and quantitative evaluations, maintaining iterative improvement routines.- Design solutions that not only emphasize technical sophistication but also consider business applicability and sustainability.# Ideal Candidate- Experience in solving problems using ML technologies, including the latest AI techniques (LLM/RAG, LMM), with a strong understanding of business requirements.- Proficiency in designing models that integrate various forms of data (text, images, audio, structured data) and rapidly adapting them.- Familiarity with applying ML technologies to services and improving them iteratively, along with a comprehensive understanding of service architecture.- Demonstrated leadership throughout the entire process from problem definition to model design, experimentation, and quantitative evaluation.- Proficiency in the latest AI ecosystem, including tools like PyTorch, Hugging Face Transformers, and LangChain.- Experience in designing solutions that account for both technical experimentation and service applicability and scalability.- A keen interest and ability to explore and technically define new problems.# Resume Tips- Instead of merely listing modeling techniques, provide concrete examples of improvements made and their impacts.- Highlight any significant achievements derived from experiments and iterative improvements under various constraints.- Emphasize your role in collaborative processes and how you contributed to problem-solving beyond just technical aspects.# Recruitment Process- Application submission > 1st Technical Interview (Coding) > 2nd Technical Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation > Final Acceptance.- The first interview will include a straightforward coding test, resume review, and basic ML knowledge assessment.- The second interview will focus on in-depth technical discussions and ML system design.# A Note for Future Colleagues> "Solving complex problems with AI is just the beginning.What we truly focus on is re-examining the problems themselves and transforming them for the better."- It’s not just about feeding refined data into models; it’s about contemplating how to technically resolve problems that are still undefined.- We always begin with questions like, "Do we really need to model this?" and engage in a process of redefining the problem to find the most impactful solutions.- We aim to design new workflows led by AI, rather than merely applying AI to tasks that have been traditionally performed manually.

The Staff UCC Application Engineer will join Coupang’s Unified Communication and Collaboration (UCC) team in Seoul, South Korea. This role centers on the operation and governance of Microsoft 365 and related enterprise applications that support Coupang employees. Role overview This position leads the design and implementation of data governance and retention frameworks within the Microsoft 365 environment. Daily responsibilities include overseeing collaboration platforms and cloud-based services, managing data lifecycle processes such as record management, retention policies, and access controls, and developing scripts and automation to streamline operations. The engineer will also support governance initiatives by working closely with Legal, Security, Compliance, and Business teams, and will apply automation and AI-powered productivity tools to improve reporting, knowledge management, and service utilization. Main responsibilities Design and implement data governance and retention frameworks for Microsoft 365. Oversee daily operations of collaboration platforms and cloud-based services. Manage data lifecycle, including record management, retention, and access control. Develop and maintain automation scripts to improve efficiency. Support governance initiatives in collaboration with Legal, Security, Compliance, and Business teams. Utilize automation and AI productivity tools to enhance reporting and service usage. Requirements Experience ensuring operational reliability and governance for enterprise collaboration platforms, especially Microsoft 365. Strong background in data lifecycle management, retention policies, and automation. Ability to collaborate across Legal, Security, Compliance, and Business functions. Interest in applying AI and automation for continuous improvement and efficiency.

Role overview The Staff UCC Application Engineer at Coupang will work from Seoul, South Korea, focusing on enhancing operations and governance. The role centers on using AI-enabled productivity tools to drive improvements throughout the organization. This position involves shaping how teams collaborate and contribute to company-wide results. The engineer will play a key part in influencing workflows and supporting better outcomes across Coupang. Key focus areas Improve operational efficiency with AI-powered productivity solutions Strengthen governance practices within teams Help define and refine processes that impact company performance Location This role is based in Seoul, South Korea.

Join Our AI Transformation TeamOur dynamic AI Transformation Team is dedicated to tackling intricate engineering challenges through innovative machine learning techniques, transitioning these solutions into impactful real-world applications. We specialize in creating agent systems designed to automate problem-solving, constantly refining and enhancing our approaches.Our mission is to seamlessly connect research with practical application by constructing platforms that utilize agentic AI for tangible engineering solutions.Key ResponsibilitiesArchitect and develop the foundational infrastructure for our Agent System Framework.Implement essential components of the agent runtime, focusing on orchestration, context management, tool execution, and memory abstraction.Work alongside cross-functional teams to quickly prototype and scale new agent functionalities into production environments.Design and enhance developer-friendly interfaces including CLI tools and SDKs.Minimum QualificationsA Bachelor’s degree in Computer Science, a related technical discipline, or equivalent practical experienceProven experience in at least two of the following areas:Designing and managing distributed systems or extensive backend systems.Building and deploying machine learning/AI systems, particularly those based on LLMs, in a production setting.Developing agent systems, workflow engines, or orchestration frameworks.Backend development proficiency in Python, Go, or C++.Preferred QualificationsMaster’s or PhD degree in Engineering, Computer Science, or a related fieldDemonstrated success in designing and implementing agentic AI system frameworks in real-world or large-scale contexts.Hands-on experience in developing LLM-based applications (e.g., for tool utilization, planning, reasoning systems).Experience in creating developer tools, such as CLI or SDKs.Contact UsFor inquiries, reach out to us at: recruit@furiosa.ai

Welcome to the general application portal for Wieden+Kennedy's vibrant Seoul office. We are always on the lookout for innovative talent. If future opportunities arise that align with your skills and passions, we are excited to connect with you!

Join us as a Technical Product Owner specializing in AI!The Technical Product Owner at Toss is a vital part of our team, driving the success of technology-driven products across various services.This role focuses on rapidly experimenting with AI/ML-based features and connecting them with real user experiences.Your responsibilities will include:Leading the end-to-end planning and improvement cycles of ML-based products.Defining and executing how technology should function in areas like recommendations, rankings, search, and personalization.Collaborating closely with Data Scientists and ML Engineers to bridge technology and product.Defining business impact, designing metrics, and enhancing products through A/B testing and iterative processes.Designing AI-driven user experiences, business structures, and technical architectures with a long-term perspective.We are looking for someone who:Has practical experience designing and operating machine learning-based products or systems.Possesses strong interest or experience in various ML applications such as recommendations, rankings, predictions, search, personalization, demand forecasting, and ad optimization.Has experience leading complex and uncertain tasks to completion.Can create incremental outcomes while considering both business impact and technical feasibility.Resume Tips:Clearly outline the flow from problem definition to solution generation, stakeholder collaboration, and final results for each product, service, or project.Instead of merely listing duties, highlight your achievements and insights gained throughout the process.Journey to join Toss:Application submission > Job interview > Cultural fit interview > Reference check > Compensation negotiation > Final acceptance and onboarding.“We are a team genuinely committed to delivering the best results to our users right now.”Recommendations, searches, and rankings are not merely technical problems.We need to design and solve complex issues involving customer context, our business strategy, and real-time data flows.There are no absolute answers, and we must always validate through A/B testing. Hence, this team speaks through experiments rather than opinions and metrics rather than assertions.If you love technology and want to lead the transformation of that technology into real user experiences and metrics, you will find exciting opportunities here.

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.

# About the Team You'll Join- As a Data Product Manager (AI) at Toss Bank, you will lead the rapid experimentation of AI/ML-driven features and products, connecting them to actual user experiences to drive product success.- Upon joining, you will collaborate with the ML Service Team to discover, plan, implement, and operate AI-based products.# Responsibilities You Will Undertake- You will spearhead the end-to-end planning and improvement cycles of AI and ML-based products.- Define and execute how various AI and ML technologies should function in Toss Bank's customer-facing or internal products.- Collaborate closely with Data Scientists and ML Engineers to bridge technology and product.- Understand complex technical, business, and regulatory requirements, designing domains with developers while strategically solving problems.- Define business impact, design metrics, and enhance products through A/B testing and iterative experimentation.- Design user experiences and business structures from a long-term perspective, focusing on AI.# Ideal Candidate Profile- We are looking for someone with experience or strong interest in services utilizing AI Agents, LLM, and ML.- You should possess experience leading high-complexity or uncertain challenges to completion.- We value those who wish to engage not just in project management but also in transforming organizational development processes and cultures, working with diverse stakeholders (planning/design/development/operations/partners) to build a stronger team.- You need to have the ability to create incremental outcomes by considering both business impact and technical feasibility.- We want someone proactive who can think comprehensively about challenges, redefine them when necessary, and lead towards better solutions.- Practical experience designing and operating ML-based products or systems is a plus.# Resume Submission Tips- Clearly detail your direct contributions to products/services/projects.- Your resume should reflect a clear flow from problem definition to solution derivation, collaboration with stakeholders, and outcome.- Instead of merely listing tasks, include achievements and insights gained during the process.- Highlight any experience where you contributed to measurable outcomes or improvements in business metrics.- Share experiences where you collaborated with multiple developers to resolve complex technical issues.# The Journey to Joining Toss- Application submission > Job interview > Cultural fit interview > Reference check > Compensation negotiation > Final acceptance and onboarding.# Important Notes- If any false information is found in the resume or if disciplinary actions are confirmed during employment history, the recruitment may be cancelled.- Candidates with disqualifying reasons as per Article 8 (Disqualification) of Toss Bank’s employment regulations may have their recruitment cancelled.- Individuals with disabilities or national veterans are preferred according to relevant laws.# A Colleague's Insight"It's not just about having great technology; it gains meaning when it connects with customer experiences."- At Toss Bank, the AI PM does not limit themselves to experiments and ideas. They take full responsibility for how technology solves problems and what experiences it provides to users.- By collaborating closely with Data Scientists and ML Engineers, decisions are guided not only by metrics but also by actual user feedback. If technology isn't functioning well or fitting the context, it’s also the PM's role to shift direction and redefine the problem itself.- This is a team where such considerations are natural and rapid experimentation is encouraged!

Coupang is revolutionizing the e-commerce landscape, creating a seamless shopping experience that delights customers from the moment they open the Coupang app until their order arrives at their doorstep. Our robust end-to-end retail and logistics network, combined with our unwavering commitment to customer satisfaction, allows us to eliminate the traditional trade-offs between speed, selection, and price. We aim to make every customer feel as though they can't imagine life without Coupang.Join our Inbound Supply Chain Management System (SCMS) team, where we tackle complex challenges using cutting-edge technology.Determining the optimal product purchases from vendorsCalculating the ideal quantity of each product to acquireStrategizing inventory placement for the fastest delivery to customersOptimizing inventory levels at our fulfillment centers for cost efficiencyWe are looking for a Data Scientist with a strong command of various machine learning techniques. Your role will encompass developing, prototyping, and deploying innovative models across supervised, unsupervised, and reinforcement learning paradigms. We highly value innovative thinkers who can leverage generative AI to craft and implement groundbreaking solutions to unprecedented challenges.Key Responsibilities:Exhibit deep technical expertise in feature engineering of large datasets, conducting effective exploratory data analyses, and constructing models utilizing industry-standard AI/ML frameworks, including large language models.Demonstrate proficiency in both supervised techniques (e.g., Linear/Logistic Regression) and unsupervised algorithms (e.g., K-means clustering).Translate complex data into actionable business insights and marketing strategies.Collaborate with various internal stakeholders, including business and engineering teams, to align objectives with your area of concentration.Innovate by adopting novel modeling techniques and methodologies.Passionate about working with extensive datasets and skilled in merging data to address business queries.Expertise in developing and managing scalable data flow solutions that integrate seamlessly from production systems to end-user applications, ensuring robustness and adaptability.Utilize distributed machine learning and statistical algorithms to manage large volumes of data efficiently, enhancing customer service.

Who We AreTwelveLabs is at the forefront of developing cutting-edge multimodal foundation models that enable video understanding akin to human perception. Our models set new standards in video-language modeling, fundamentally transforming how various forms of media are understood and analyzed.Having raised a total of $107 million through Seed and Series A funding rounds, we are backed by leading venture capital firms including NVIDIA's NVentures, NEA, Radical Ventures, and Index Ventures, along with support from renowned experts and founders in the AI space like Fei-Fei Li, Silvio Savarese, and Alexandr Wang. With our headquarters in San Francisco, we are establishing a strong presence across the APAC region from Seoul, spearheading global innovation.We are a global team that values unique experiences and backgrounds, believing that diverse cultural, educational, and life experiences allow us to continually redefine the ordinary and move toward better solutions. We seek individuals who resonate with TwelveLabs' mission, eager to expand the limits of technology and make a meaningful impact in the world.Join us in shaping the future of video understanding and multimodal AI.About the RoleThe ML/AI talent market in Korea is fiercely competitive on a global scale, and the caliber of talent we hire directly influences the success of TwelveLabs.This position is a key in-house Talent Researcher role within our Korean recruiting team, crucial for building and nurturing a strong pipeline of technical talent from the ground up.By leading the sourcing efforts for core ML positions and leveraging a deep understanding of the Korean AI talent landscape, you will help establish TwelveLabs as the employer of choice for top researchers and engineers.If you find fulfillment in discovering exceptional talent ahead of others and wish to work in an environment where your contributions have a direct impact on hiring outcomes, this position is a great fit for you.Note: This position is a fixed-term contract for one year.In This Role, You Will1. Targeted SourcingDevelop and execute proactive sourcing strategies focused on ML Engineers, ML Research Engineers, and Research Scientists, while also supporting critical GTM and product engineering positions important for our product roadmap.Utilize various channels, including professional networks, academic publications, open-source communities, and conferences, to identify and engage passive candidates.Collaborate with recruiters and hiring managers through weekly syncs to provide high-quality candidate shortlists.Assess candidates' technical backgrounds, research interests, and role fit through initial outreach and interviews.2. Talent Mapping & Market IntelligenceBuild and continuously update a dynamic Talent Map of the Korean ML/AI talent pool.Monitor talent trends among major tech companies, research institutions, and AI startups.Share market insights regarding talent supply, compensation levels, key skills, and pipeline statuses.Identify gaps in sourcing coverage and propose strategies to address them.3. Talent Community & Employer BrandingPlan and execute community activities such as research dinners, tech talks, conferences, and hackathons focused on ML/AI.Establish relationships with AI/ML communities, meetups, and industry networks.Build and maintain long-term talent relationships beyond immediate hiring needs.Enhance community engagement and employer branding through innovative initiatives.

Coupang is revolutionizing the commerce landscape, aiming to impress customers from the moment they launch the Coupang app until their orders arrive at their doorstep. With a dynamic end-to-end retail and logistics network, combined with a strong customer-centric culture, Coupang has eliminated the trade-offs between speed, selection, and pricing. We aspire to make you wonder, 'How did I ever live without Coupang?' Join our Inbound Supply Chain Management System (SCM) team as we tackle complex challenges using cutting-edge technology: Determining the optimal products to purchase from various vendors. Deciding the appropriate quantities of each product to acquire. Strategically positioning our inventory to ensure the fastest delivery to customers. Establishing the ideal inventory levels in each fulfillment center at the lowest possible cost. We are looking for a talented Data Scientist with a broad mastery of machine learning techniques. You will be responsible for developing, prototyping, and implementing innovative models using various methodologies including Supervised, Unsupervised, and Reinforcement Learning. We seek forward-thinkers who can harness generative AI to create, advocate for, and deploy state-of-the-art solutions to unprecedented challenges. Key Responsibilities: Exhibit comprehensive technical expertise in feature engineering for large datasets, perform effective exploratory data analysis, and build models using industry-standard AI/ML algorithms, including Large Language Models. Demonstrate proficiency in both Supervised (e.g., Linear/Logistic Regression) and Unsupervised algorithms (e.g., K-means clustering). Translate large datasets into actionable business insights, integrating analytics with marketing management. Collaborate closely with internal stakeholders, including business teams, engineering teams, and partners to align objectives. Innovate by adapting new modeling techniques and processes. Passionately work with extensive datasets, focusing on training and fine-tuning to address business inquiries. Possess deep expertise in dataset creation and management. Implement and operate stable, scalable data flow solutions from production systems into end-user applications and reports, ensuring solutions are fault-tolerant and adaptive. Utilize distributed machine learning and statistical methods to efficiently process large volumes of data to enhance customer service.