What are the responsibilities and job description for the TLM, Multimodal Infrastructure position at OpenAI?
About The Team
The Multimodal Research team at OpenAI is building the next generation of AI systems that can understand and generate content across multiple modalities—including text, audio, images, and video. The team’s mission is to unlock new capabilities by enabling models to process and reason about diverse data types simultaneously.
This team sits at the intersection of cutting-edge research and production, and plays a central role in shaping OpenAI's multimodal offerings—from speech-to-speech agents to video understanding and image generation. Recent projects include real-time voice agents, modular speech components, and fine-tuning pipelines that support product launches like GPT-4o
About The Role
As a TLM (Tech Lead Manager) for the multimodal infrastructure team, you will lead a high-caliber team of ML infrastructure engineers supporting every multimodal research initiative at OpenAI. This is a deeply technical, high-impact leadership role at the intersection of systems engineering and ML research. You’ll be responsible for both driving technical direction and supporting the growth and execution of your team.
We’re looking for people who are passionate about enabling world-class research through robust, scalable infrastructure and excited by the unique challenges of multimodal systems at massive scale.
This role is based in San Francisco, CA.
We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In This Role, You Will
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement
For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
The Multimodal Research team at OpenAI is building the next generation of AI systems that can understand and generate content across multiple modalities—including text, audio, images, and video. The team’s mission is to unlock new capabilities by enabling models to process and reason about diverse data types simultaneously.
This team sits at the intersection of cutting-edge research and production, and plays a central role in shaping OpenAI's multimodal offerings—from speech-to-speech agents to video understanding and image generation. Recent projects include real-time voice agents, modular speech components, and fine-tuning pipelines that support product launches like GPT-4o
About The Role
As a TLM (Tech Lead Manager) for the multimodal infrastructure team, you will lead a high-caliber team of ML infrastructure engineers supporting every multimodal research initiative at OpenAI. This is a deeply technical, high-impact leadership role at the intersection of systems engineering and ML research. You’ll be responsible for both driving technical direction and supporting the growth and execution of your team.
We’re looking for people who are passionate about enabling world-class research through robust, scalable infrastructure and excited by the unique challenges of multimodal systems at massive scale.
This role is based in San Francisco, CA.
We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In This Role, You Will
- Lead and grow a small, hands-on team building infrastructure for large-scale multimodal research.
- Collaborate closely with researchers and engineers across OpenAI to support diverse, product-facing multimodal projects.
- Design, build, and operate software systems for training and evaluating ML models on complex, high-volume multimodal data.
- Are highly technical.
- Have strong software engineering skills and experience building high-performance infrastructure.
- Understand or are excited to learn about ML systems, especially those involving large-scale training or multimodal data.
- Have experience with model training infrastructure, ML performance optimization or kernel development, large scale multimodal data pipelines, and ML developer tools
- Excel at cross-functional leadership—able to prioritize across projects, protect your team’s focus, and build strong partnerships across research and infrastructure teams.
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement
For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
