Research Scientist
Job Description
- Training generative AI models (video, image, text, audio)
- Applying foundational models to applications (editing, controlled generation)
- Reinforcement learning for model tuning
- Efficient training/inference on distributed systems
- Data curation and processing
- Strong research track-record in Generative AI
- Experience with LLMs or diffusion models
- Experience with data and distributed systems
- Proficiency in PyTorch or Jax
- One research project in Generative AI where you played a major role
- Competitive equity packages (stock options)
- Comprehensive benefits plan
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.
Relevant Research Experience
Training generative AI models in modalities such as video, image, text, and audio.
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.
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