Research Scientist
Palo Alto, California
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 Profile
Regions
Countries
Onsite role but open to remote for right candidate
Benefits/PerksCompetitive equity packages Comprehensive benefits plan
Tasks- Data curation and processing
- Research on generative ai
- Training generative ai models
Data Curation Data Systems Deep Learning Diffusion Models Distributed Systems Efficient training Generative AI Inference techniques Jax LLMs Model tuning PyTorch Reinforcement Learning
Experience1-3 years
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9
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