Research Scientist

5 Months ago • All levels • Research Development • $200,000 PA - $300,000 PA

Job Summary

Job Description

Luma is seeking a Research Scientist with a strong research track record in Generative AI, including LLMs and diffusion models, as well as data and distributed systems. The role involves working directly on mission-critical projects within the foundation models research team. The ideal candidate will have significant experience in training generative AI models across various modalities (video, image, text, audio), applying foundational models to applications like editing and controlled generation, utilizing reinforcement learning for model tuning, and implementing efficient training and inference techniques on large-scale distributed systems. Experience with data curation and processing for pretraining and fine-tuning is also valuable. Proficiency in deep learning frameworks like PyTorch and/or Jax is required.
Must have:
  • 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
Good to have:
  • 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
Perks:
  • Competitive equity packages (stock options)
  • Comprehensive benefits plan

Job Details

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. 

Your application is reviewed by real people.

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About The Company

Palo Alto, California, United States (Hybrid)

Palo Alto, California, United States (Hybrid)

Palo Alto, California, United States (Hybrid)

Palo Alto, California, United States (Hybrid)

Palo Alto, California, United States (Hybrid)

Palo Alto, California, United States (Hybrid)

Palo Alto, California, United States (Hybrid)

Palo Alto, California, United States (Hybrid)

Palo Alto, California, United States (Hybrid)

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