Research Scientist
Palo Alto, California
Full Time Mid-level / Intermediate USD 200K - 300K
We are looking for people with a strong research track-record related to Generative AI, such as LLMs, diffusion models, data and distributed systems. You will be part of Luma’s foundation models research team and work directly on mission critical projects.
Candidates must have at least one research project related to Generative AI in which you played a major role.
Candidates must have at least one research project related to Generative AI in which you played a major role.
Relevant Research Experience
- Training generative AI models in modalities such as video, image, text, audio, and 3D.
- Unlocking the power of foundational models for interesting applications, such as editing and controlled generations.
- On-policy or off-policy reinforcement learning for model tuning
- Efficient training and / or inference techniques on large-scale distributed systems
- Data curation and processing for pretraining and fine-tuning
Technical Requirements
- Proficiency in deep learning frameworks such as PyTorch and/or Jax.
- This is an onsite role but open to remote for right candidate
Compensation
- The pay range for this position in California is $200,000 - $300,000yr; 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.
Job stats:
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Categories:
Data Science Jobs
Research Jobs
Tags: Deep Learning Diffusion models Distributed Systems Generative AI JAX LLMs PyTorch Reinforcement Learning Research
Perks/benefits: Career development Competitive pay Equity / stock options
Regions:
Remote/Anywhere
North America
Country:
United States
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