Senior Research Engineer - Applied Research
Luma AI
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Palo Alto, CA, USA
USD 175k-250k / year + Equity
Responsibilities
- Implement cutting-edge generative AI features for inclusion in our product
- Work with Research and Product to fine-tune models, including dataset creation, model fine-tuning and evaluation
- Build tools & methods for evaluating our models and identify & implement solutions
- Train and run ML classifiers & embeddings to categorize by data quality and other attributes
Experience
- Strong generalist Python skills including significant experience with PyTorch.
- Recent experience in, and understanding of, visual AI, including diffusion models and transformers (note: can be from professional work, academic research experience, or hobby work with open source models like Stable Diffusion)
- Passion for experimenting with multi-modal generative AI, including familiarity with recent research work and ideas for implementing research into usable products.
- Good to have experience with cluster orchestration tools like SLURM
- Good to have experience with high performance large scale ML systems (>100 GPUs)
Compensation
- The pay range for this position in California is $175,000 - $250,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan.
This job is no longer accepting applications
See open jobs at Luma AI.See open jobs similar to "Senior Research Engineer - Applied Research" General Catalyst.