Staff Machine Learning Research Scientist - Pegasus

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 mil…

The Director of Product Management for Growth Marketing at Coupang guides the strategic direction of the company’s machine learning product suite. This position leads a team focused on using data-driven insights to improve customer acquisition and retention. Role overview This leadership role centers on defining the product vision and setting priorities for the roadmap. Collaboration with cross-functional teams is key to ensuring smooth and successful product launches. The work involves developing solutions that support Coupang’s growth goals, relying on a blend of product management and marketing expertise. What you will do Lead and develop a team working on machine learning products for growth marketing Define the vision for new and existing products Prioritize initiatives and manage the product roadmap Work closely with teams across the company to launch products effectively Identify new market opportunities and analyze competitors Apply best practices in product development Requirements Experience in product management and marketing Strong background in using data to drive decisions Ability to lead teams and collaborate across functions

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 position centers on Coupang's Onsite Growth Product team in Seoul. The role leads major projects in landing experiences, campaign management, and personalization. Collaboration with AI/ML engineering, UX design, and marketing leaders is essential to deliver a high-impact onsite experience. The team aims to use AI-driven approaches to improve conversion for all incoming traffic, building a platform that supports personalized customer journeys. What you will do Shape and execute the product vision for machine learning-powered landing page experiences, including personalized recommendations and contextual user interactions. Manage the full product development cycle, from initial concept through launch and continuous improvement. Drive higher conversion rates by applying experimentation, reinforcement learning, and rapid feedback loops. Work cross-functionally with marketing and engineering teams to align strategies and ensure effective execution.

Role Overview Tosscareers is hiring an AIOps Platform Engineer in Seoul. This role focuses on building and improving AIOps platforms that support IT operations. The work centers on integrating AI with operations to improve performance and reliability. What You Will Do Work with teams from different disciplines to design and develop AIOps solutions Implement platforms that help automate and optimize IT operations Contribute technical expertise to projects that connect AI tools with operational workflows Support the stability and efficiency of IT systems through AI-driven approaches Location This position is based in Seoul.

Join our innovative team as a Frontend Platform Engineer at Toss, where we revolutionize the way people manage their finances through cutting-edge technology and seamless user experiences.

Join our innovative team as a Frontend Platform Engineer, where you will play a pivotal role in developing and enhancing our cutting-edge frontend technologies. You'll collaborate closely with cross-functional teams to design, implement, and maintain high-quality user interfaces that elevate our platform's performance and user experience. If you're passionate about creating seamless web applications and have a knack for problem-solving, we want to hear from you!

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.

Join Our Dynamic Team!The Data Engineer for Workflow Platform is an integral member of Toss Bank's Data Division, specifically within the Data Platform team.This team comprises three key areas: Data Infrastructure & Hadoop, Streaming Platform, and Workflow Platform.We operate various Data Platforms, including Hadoop, Kafka, CDC, and Airflow.Our mission is to ensure the reliability and scalability of the enterprise data infrastructure, ensuring all data is securely collected and processed.Your Responsibilities:Design and operate a large-scale data workflow execution platform in an on-premise Kubernetes environment.Optimize resources to ensure the stable execution of large workflows across various data organizations, enhancing platform performance and reliability.Collaborate with enterprise data engineers to improve the execution quality of the overall data pipeline and enhance developer experience.Monitor workflow execution status, design and improve systems for automated fault detection, alerts, and recovery procedures.Safely manage workflow executions in accordance with internal control standards of the financial sector, advancing a systematic history management system.Continuously review and implement new technologies and open-source solutions to enhance the performance and scalability of the workflow platform.We Are Looking For:Experience operating an Airflow-based workflow orchestration system with proven improvements in stability, scalability, and execution efficiency.Background in developing Python-based data workflows and platform services.Understanding of container technologies (Docker, Kubernetes, etc.) and experience in automating service deployment and configuration using tools like Helm.Ability to understand company environments and communicate effectively with various teams during service development.A keen interest in improving operational efficiency and optimization in large-scale workflow environments.Desire to enhance platform user experience to facilitate easier and safer pipeline development and operations for in-house data engineers.A proactive approach to analyzing, modifying, and improving open-source solutions at the code level to solve issues.Resume Submission Tips:Clearly outline impactful projects you have worked on in your career.Focus on experiences related to data platforms, particularly with Airflow, Kubernetes, and Python.

Join Us and Engage in Exciting Work! After completing a comprehensive onboarding process to familiarize yourself with the Toss data environment, you will be part of the Data Warehouse Team, undertaking the following responsibilities: Develop a data quality platform that enhances table consistency, advances DQ rules, and establishes health check metrics. We aim to create a reliability management platform allowing all data users to work without questioning, 'Can I trust this data?'.Enhance the GraphRAG pipeline. Build a knowledge graph construction pipeline that extracts entities by parsing ontology YAML, SQL, and code, followed by vector embedding for indexing in Elasticsearch, making Toss's data assets easily navigable for everyone.Design and operate MSA architectures. Split necessary services for the ontology platform into microservices, ensuring each is designed, implemented, and operated reliably.Develop AI agent infrastructure. Create a multi-agent workflow execution environment based on open-source agent frameworks like CrewAI. Establish an MCP Tool Registry and develop integration infrastructure with external MCP servers.Build an early warning platform. Create a monitoring system that detects anomalies in data lineage, code, and trends, automatically performing alerts and analyses to identify issues before they escalate.Develop a lineage tracking engine. Create a system that automatically analyzes the extent of impacts by parsing SQL to extract column-wise influence relationships, determining how far changes propagate.

Join our dynamic team as a Data Engineer specializing in log platforms. In this role, you will work with cutting-edge technologies to design, build, and maintain robust data pipelines. Your expertise will help us manage and analyze extensive log data, enabling improved decision-making and operational efficiency.

Role overview Airwallex is seeking an Engineering Manager for the GTPN Platform in Seoul. This position leads a group of engineers dedicated to improving the platform’s features and reliability. The role involves close collaboration with teams throughout the company to achieve technical goals and support ongoing enhancements. What you will do Guide and mentor engineers working on the GTPN Platform Oversee projects that expand and strengthen the platform’s capabilities Collaborate with cross-functional teams to meet project objectives Promote a culture that prioritizes technical quality and creative problem-solving Location This role is based in Seoul, South Korea.

Join Our Team at AirwallexAirwallex is pioneering a unified payments and financial platform designed for global businesses. Our innovative infrastructure and software empower over 200,000 businesses, including industry leaders like Brex, Rippling, Navan, Qantas, and SHEIN, to seamlessly manage everything from business accounts and payments to spend management and treasury services.Founded in Melbourne, our team of more than 2,000 bright minds operates across 26 global offices. With a valuation of US$8 billion and support from top-tier investors such as T. Rowe Price, Visa, and Mastercard, Airwallex is at the forefront of revolutionizing the global payments and financial landscape. If you’re ready to undertake the most ambitious project of your career, we invite you to join us.What We ValueWe seek builders with entrepreneurial spirit who are driven to make a genuine impact. You will bring your expertise and sharp insights, motivated by our mission and operating principles. You are quick to act with sound judgment, curious, and capable of making informed decisions that balance speed with thoroughness.Collaboration and humility are key traits; you will transform innovative concepts into tangible products and ensure project completion from start to finish. By leveraging AI, you will optimize processes and enhance problem-solving efficiency. Here, you will tackle complex challenges alongside exceptional colleagues and advance your career as we redefine the future of global banking.About the GTPN TeamThe Global Treasury and Payment Network (GTPN) team is integral to Airwallex’s payment infrastructure. As our first product and primary revenue driver, GTPN enhances many critical customer interactions. We operate at the intersection of traditional and modern finance, expanding our global treasury network while strengthening its capabilities and reliability through innovative payment products.Our team is a truly global, cross-site engineering organization, with talented engineers based in established and emerging hubs including the US, Singapore, Hong Kong, and Shanghai. As we continue to grow globally, we are looking for passionate Senior Software Engineers to join our ranks. You’ll work collaboratively in a dynamic environment focused on innovation.

About AirwallexAirwallex is a pioneering unified payments and financial platform designed for global enterprises. With our unique blend of proprietary infrastructure and software, we empower more than 200,000 businesses globally—including industry leaders such as Brex, Rippling, Navan, Qantas, SHEIN, and others—with fully integrated solutions for managing business accounts, payments, spend management, treasury, and embedded finance on a global scale.Founded in Melbourne, we take pride in our diverse team of over 2,000 innovative professionals across 26 offices worldwide. Valued at $8 billion and supported by renowned investors like T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is at the forefront of developing the future of global payments and financial services. If you’re ready to embark on the most ambitious journey of your career, we invite you to join us.

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.

Join Our Team at AirwallexAt Airwallex, we are redefining the financial landscape for global businesses through our integrated payment and financial solutions. With a unique blend of proprietary technology and infrastructure, we empower over 200,000 businesses—including industry leaders like Brex, Rippling, Navan, Qantas, and SHEIN—to seamlessly manage their accounts, payments, and treasury on a global scale.Founded in Melbourne, Airwallex boasts a dynamic team of over 2,000 innovative tech professionals across 26 offices worldwide. Valued at $8 billion and backed by prestigious investors such as T. Rowe Price, Visa, and Mastercard, we are at the forefront of developing the future of global payments. If you’re ready to embark on the most ambitious journey of your career, we invite you to join us.What We Are Looking ForWe value ambitious creators with a founder-like spirit who seek to make a real impact while accelerating their learning and taking ownership of their work. If you possess strong skills in software engineering, a sharp analytical mindset, and are driven by our mission and operating principles, we want you on our team. You thrive in a fast-paced environment, have a curious mindset, and make judicious decisions backed by thorough analysis.As a humble and collaborative individual, you have the ability to turn innovative ideas into tangible products and are proficient in using AI to enhance productivity. Here, you’ll face complex challenges alongside exceptional teammates while advancing your career in the evolving landscape of global banking. If this resonates with you, let’s create the future together.About the GTPN TeamThe Global Treasury and Payment Network (GTPN) team is central to Airwallex’s payment infrastructure. As our inaugural product and the largest revenue generator, GTPN plays a crucial role in enhancing customer experiences. Operating at the crossroads of traditional and modern finance, we are committed to expanding and fortifying our global treasury and payment network, while delivering innovative financial products on a solid financial foundation.We are a truly global and cross-functional engineering team, with talented engineers located in established and emerging tech hubs including the US, Singapore, Hong Kong, and Shanghai. As we scale our operations, we are on the lookout for passionate Senior Software Engineers to join our ranks. Collaborate with us to tackle exciting challenges and drive innovation in our industry.

Join Our Dynamic TeamAs a Data Engineer at Toss, you will be part of the Data Platform team.The Data Platform team operates within the Data Division, supporting and managing the data and platforms necessary for all Toss services.Our team comprises members with 2 to 18 years of experience from diverse backgrounds, including portals, banking, gaming, and startups.We encourage team members to pursue various interests and collaborate freely on skills and knowledge sharing.Your ResponsibilitiesDevelop and maintain stable and efficient data pipelines (ingestion, loading, streaming).Contribute to data-driven Toss services through real-time distributed processing of large datasets.Create and manage tools to ensure a reliable and efficient data experimentation and analysis environment for your colleagues.Develop various data service applications for data analysis and platform operation.Who You AreYou have experience in developing data pipelines for large-scale data processing (collection, processing, analysis).You are familiar with large-scale distributed systems (Hadoop, HBase, Kafka, Spark, Flink, etc.).You possess software development skills for data application development (Java, Scala, Python, etc.).You have intermediate or advanced programming skills (web/client/server programming).Experience in developing services related to recommendations/advertising/machine learning is a plus.Please Highlight These Experiences in Your ResumeDetail the projects you worked on, the technologies you used, and how you solved challenges, rather than just listing languages or frameworks.Experience using platforms similar to Toss is beneficial, but we prioritize growth potential and problem-solving abilities over specific technologies.Include any experience resolving critical failures while operating platforms or optimizing for performance and resource usage.Share experiences where you identified and resolved bugs in open-source software or contributed enhancements.Your Journey to Joining TossApplication submission > Technical interview > Cultural fit interview > Reference check > Compensation discussion > Final offer

# 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.

Speechify helps over 50 million people turn reading materials, PDFs, books, Google Docs, news articles, and websites, into audio they can listen to anywhere. Our products span iOS, Android, Mac, Chrome Extension, and Web App. Google named us Chrome Extension of the Year, and Apple awarded us the 2025 Design Award for Inclusivity. Our team of nearly 200 works fully remotely, representing backgrounds from Amazon, Microsoft, Google, Stripe, Vercel, Stanford, and more. We value diverse experience and a collaborative approach. There is no central office; everyone contributes from wherever they are. Role overview The Platform Software Engineer will join the Platform team to build and maintain backend services. These systems support payments, analytics, subscriptions, product development, text-to-speech features, and external API integrations. The work directly shapes the reliability and reach of Speechify’s core products. This position calls for someone who thinks strategically and cares about delivering strong user experiences. The team operates with a flat structure, leadership comes from technical skill and consistent results, not job titles. What matters here Solid work ethic and follow-through Clear, effective communication Drive to compete and improve Interview process The process includes several technical interviews, typically completed within one week. Location This role is based in Seoul, South Korea.

About the Team You'll Join The Data Analytics Engineer at Toss Securities is part of the Data Warehouse Team within the Data Division. Your responsibilities will be focused on Data Platform and Data Mart tasks. While your primary focus will vary, you will also engage in cross-functional projects. The Platform tasks involve maintaining and optimizing ETL/Pipeline Tools to effectively manage the DW Mart tables. You will explore and implement new methods to reduce DW operation time with limited resources. Our goal is to maximize data utilization across the organization using tables managed by the DW team. The current team consists of approximately 7 members with varying experience levels ranging from 2 to 14 years, coming from diverse backgrounds including portals, banking, gaming, and startups. Curious about the Data Division? The Data Division at Toss Securities aims to become the world's leading securities firm in data handling, contributing through data technology, services, and data-driven decision-making. We foster close collaboration among various data professionals and enjoy our work. Regular Tech Weekly sessions allow us to share expertise, and you can freely engage with different teams to learn from each other. Your Responsibilities Experience and contribute to an efficient DW environment within a rapidly growing agile organization. Design data marts and develop and automate DW Data Workflows based on the Hadoop Ecosystem and open-source solutions. Identify and implement methods for structuring and automating numerous DW/Mart tables. Process large volumes of data swiftly and effectively to create and manage various features. Establish Data Quality Checks and Governance within the data marts. Experience in deriving and establishing system requirements for large data processing and analysis is a plus. Ideal Candidate At least 5 years of experience as a Data Engineer is essential. You should possess a fundamental understanding of RDBMS, Hadoop Ecosystem, and Data Warehousing. Proven experience in leading the design, construction, and operation of data marts is required. You should be capable of installing, operating, and troubleshooting Airflow, DBT, and Django, with the ability to modify open-source tools to develop features needed for securities DW. Experience in simplifying complex problems or automating repetitive tasks using data models is critical. Extensive experience in efficiently processing big data using Spark is highly desirable. Intermediate proficiency in Python and advanced skills in SQL are required. Resume Tips If you have resolved critical issues while operating platforms or optimized performance and system resource usage, please include those experiences. Be specific about impactful projects you have worked on. If you have addressed bugs or issues while using open-source tools, or developed or enhanced features, please detail those experiences. Highlight the results of any improvements made in actual services, quantified if possible (please exclude sensitive information if necessary). Join Toss Securities Application Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation >...

Founded in 2006 by passionate gamers, Riot Games is committed to crafting player-centric games that resonate with audiences worldwide. Our flagship title, League of Legends, launched in 2009, has since become a global phenomenon, captivating over 100 million players each month. We continuously strive to enhance the League of Legends experience, placing players at the heart of our community. We are on the lookout for humble yet ambitious professionals, sharp-minded individuals who can share their insights while we reciprocate with our own. If you have a serious passion for gaming, thrive on innovation, and are unafraid to challenge the status quo, we want to hear from you! As the Manager of Software Engineering in the Publishing Engagement team within the Publishing Platform, you will lead engineers dedicated to designing, developing, and maintaining platform services that facilitate game content delivery and enrich player experiences across various games and platforms. Collaborating with game developers, central tech groups, and legal and business teams in Korea, you will ensure high-quality standards while optimizing operations for players both locally and globally. Your extensive knowledge of technical systems will guide the team in building, operating, and scaling our services. You will influence critical technical decisions, oversee documentation and process enhancements, and mentor engineers in delivering integrated, multi-platform gaming experiences. Your leadership will cultivate an environment of clarity, discipline, and agility, empowering the team to make a significant impact. You will report directly to the Senior Manager of Software Engineering, who supervises multiple teams under the Meta Game Services initiative.