Research Scientist

Palo Alto, CA Until 8/21/2026 First posted March 26, 2025 Last posted March 26, 2025
Job description

We are seeking individuals with a proven research track record in areas such as large language models (LLMs), diffusion models, data systems, and distributed computing.

Qualifications

  • Developing and training generative AI models across modalities, including video, image, text, audio, and 3D.
  • Unlocking the potential of foundational models for applications like editing and controlled generation.
  • On-policy and off-policy reinforcement learning for model optimization and tuning.
  • Innovating efficient training and inference techniques on large-scale distributed systems.
  • Curating and processing datasets for pretraining and fine-tuning.

Key Skills:

  • Proficiency in deep learning frameworks, such as PyTorch and/or JAX.
  • This is an onsite position, but remote arrangements may be considered for exceptional candidates.

Compensation

The salary range for this role in California is $200,000–$300,000 per year. Actual base pay may vary based on factors such as job-related expertise, skills, experience, and candidate location. Additionally, we provide competitive equity packages through stock options and a comprehensive benefits plan.

About this role

Summary

Develop and train generative AI models and optimize large-scale systems.

Job title

Research Scientist

Experience level

Industry

software

Location requirements

Onsite in Palo Alto, CA; remote possible for exceptional candidates

Salary

$200,000–$300,000 per year

Management role

No

Skills & keywords

Required skills

deep learningPyTorchJAX

Preferred skills

None specified

Specializations

generative AIdeep learningreinforcement learningdata systemsdistributed computing
Locations

Structured locations inferred from the posting.

Palo Alto, CA, USA

On-site City

Palo Alto, CA, USA

Hybrid City