Lumaai
Research Scientist / Engineer — Foundation Model (Agent)
- Confirmed live in the last 24 hours
- No salary listed
- Mid level
- Full-time
- Remote · Redwood City, CA
- Added 2 months ago
About this role
Luma is seeking a Research Scientist/Engineer to develop and train advanced multimodal agentic models. This role will involve architecting models capable of reasoning, planning, and tool usage, while addressing novel challenges in a multi-faceted environment. Successful candidates will contribute to foundational research shaping how users interact with Luma's AI models.
What you'll do
- Architect large-scale multimodal agentic models.
- Design and build robust data pipelines.
- Train large-scale multimodal models on GPU clusters.
- Define and build evaluation frameworks for agents.
- Improve agentic capabilities and validate with new evaluations.
- Scale approaches across datasets and clusters.
What they're looking for
- Machine Learning
- Foundation Models
- Agentic Systems
- PyTorch
- Large-Scale Training
- Distributed Training
- Mixed Precision Training
- LLM/VLM Reasoning
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Lumaai
- Industry
- Technology & Software
Likely interview questions
- Describe your experience with training large-scale models, including challenges and solutions related to distributed training.
- Explain your understanding of agentic systems and how they differ from traditional LLMs.