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Research Scientist / Engineer — Foundation Model

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Luma AI

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Location:
United States , Palo Alto

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

This is a rare and foundational opportunity to define the future of multimodal AI. You will be at the forefront of building and training large-scale multimodal models and systems that complete multimodal work. This role offers the chance to bridge cutting-edge research with magical, shipped products, working end-to-end on novel problems with no existing playbook. This opportunity involves both the “science” and “engineering” parts of research, two aspects that are of equal importance. This is a multi-stack opportunity where you will work on the intersection of modeling, data, systems, and evaluation that enable building agents that can complete multimodal work end-to-end.

Job Responsibility:

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

Requirements:

  • 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)
  • Able to contribute continuous 6 months in the internship

Nice to have:

  • 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

Additional Information:

Job Posted:
February 16, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:

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