Research Scientist / Engineer — Multimodal Agent

About Luma AI

Luma’s mission is to build multimodal AGI. Through our research on video, 3D, and now multimodal models at Luma, we believe that AI needs to be jointly trained over all signal modalities – text, video, audio, images – analogous to the human brain. To advance our mission, we build and operate the full stack end-to-end, spanning foundation models, inference systems, and products. This integrated approach powers technologies like Ray3, which is seeing rapidly growing adoption among Fortune 500 companies across media, entertainment, and advertising.

What You'll Do

• Architect large-scale multimodal agentic models that use reasoning, planning, coding, and tool calling to achieve complex, multi-step multimodal work.
• Hillclimb existing tasks and formulate new tasks through data.
• Design, implement, and run robust data pipelines for constructing, enriching, and filtering massive pixel datasets.
• Train large-scale multimodal models on massive datasets and GPU clusters.
• Define and build novel evaluation frameworks to measure multimodal agents.

Who You Are

• Strong foundation in machine learning, foundation models, and agentic systems.
• Deep understanding of agentic systems and approaches in LLM/VLM reasoning, coding models, LLM/VLM tool calling.
• Hands-on experience with PyTorch and large-scale training (distributed, mixed precision, large datasets).

Who Sets You Apart (Bonus Points)

• Experience in the following around data, modeling, or evaluation:
• State-of-the-art foundation models in reasoning
• State-of-the-art foundation models in coding
• State-of-the-art foundation models in tool calling
• State-of-the-art multimodal agents