Senior Staff Research Scientist/Engineer - Video Agent at TwelveLabs

Seoul, , South Korea -

Full Time

Start Date

Immediate

Expiry Date

15 Mar, 26

Salary

0.0

Posted On

15 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Video Understanding, Multimodal Retrieval, Temporal Reasoning, Agent-Driven Workflows, Python, PyTorch, AI/ML Agents, Experiment Design, Project Management, Collaboration, Research, Systems Optimization, Infrastructure Development, User-Facing Components, Technical Communication, Problem Solving

Industry

Software Development

Description

Who we are At TwelveLabs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media. With a $110+ million in Seed and Series A funding, our company is backed by top-tier venture capital firms such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation. We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI. About the Team The team builds an agent that enables TwelveLabs’ models to search, understand, and reason over large-scale video archives. We focus on orchestrating multimodal models, retrieval systems, and reasoning components so that users can interact with massive video collections through natural queries and obtain accurate, trustworthy answers. Our work spans the full stack of video understanding: multimodal retrieval and grounding, temporal reasoning, knowledge extraction from long-form video, and agentic workflows that combine model predictions, indexing structures, and tool-based operations. We care deeply about building systems that are both scientifically rigorous and practically impactful. About the Role This position spans two tracks—Research Scientist and Research Engineer—determined by your strengths and interests. These roles exist on a spectrum rather than as discrete categories; both contribute to research and implementation. As a Research Scientist, you will explore fundamental questions in video reasoning, retrieval-guided QA, and multimodal understanding, driving research from hypothesis formulation to experiment design and analysis. You’ll investigate how video agents can interpret long-form content, connect evidence across modalities, and deliver reliable, structured outputs that reflect real user needs. As a Research Engineer, you will focus on translating research ideas into robust, scalable systems. You’ll build and optimize pipelines that support indexing, retrieval, and agentic workflows, and develop the infrastructure that accelerates experimentation and ensures our models perform reliably in production. Your work will bridge the gap between exploratory research and the systems that power real-world applications. Both tracks contribute to advancing our video agent capabilities, and both require a balance of curiosity, technical depth, and collaborative problem solving. You might be a great fit if you have We’re looking for candidates with research or engineering experience in areas related to video understanding, multimodal retrieval, temporal reasoning, or agent-driven workflows that combine models, tools, and structured search. You should be able to define meaningful research questions, design experiments, and drive projects from ideation to execution while grounding your work in real user scenarios and practical constraints. Strong proficiency in Python and PyTorch is essential, along with the ability to clearly communicate technical concepts and collaborate across science, engineering, and product teams. Experience in building AI/ML agents and bringing them into production environments is highly preferred. This includes designing agent architectures, integrating them with retrieval or reasoning systems, and deploying them as reliable, user-facing components. We evaluate based on relevant technical skills and research experience rather than degrees alone, though this is typically supported by an MS/PhD or equivalent practical experience in a relevant field. What makes this role unique The team sits at the intersection of models, retrieval, reasoning, and user workflows. The systems you build will rapidly make their way into real products used by customers worldwide. We operate with a tight research-to-production loop, ensuring that innovations have immediate, meaningful impact. Others Work Location: Seoul Itaewon office + Pangyo satellite office Additional Info: 전문연구요원 편입/전직 가능합니다. Even if you don't check every box, we encourage you to apply. If you're a zero-to-one achiever, a ferocious learner, and a kind team player who motivates others, you'll find a home at TwelveLabs. Hiring Process Application Review → Recruiter Interview (비대면/30분) → Hiring Manager Interview (비대면/30분) → Technical Interview Round 1 (대면/60분) → Technical Interview Round 2 (비대면/90분) → Final Round Interview (비대면/30분) → Reference Check → Offer

Responsibilities

The role involves exploring fundamental questions in video reasoning and translating research ideas into scalable systems. You will work on building and optimizing pipelines that support indexing, retrieval, and agentic workflows.