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Research Scientist

California, United States (On-site)

Research Scientist

1 Month ago • All levels • Artificial Intelligence • $200,000 PA - $300,000 PA

About the job

4 skills required for this role

Add these skills to join the top 1% applicants for this job

reinforcement-learning

deep-learning

pytorch

game-texts

Job Description

Research Scientist position focused on developing and training generative AI models across various modalities (video, image, text, audio, 3D). Responsibilities include leveraging foundational models for applications like editing and controlled generation, employing reinforcement learning techniques for model optimization, innovating efficient training and inference methods on large-scale distributed systems, and curating datasets for model training. Proficiency in deep learning frameworks (PyTorch/JAX) is crucial. While primarily an on-site role in Palo Alto, CA, remote arrangements may be considered for exceptional candidates.

Must have:

Proven research track record in LLMs, diffusion models, data systems, and distributed computing
Generative AI model development and training across modalities
Reinforcement learning for model optimization
Efficient training and inference techniques on large-scale systems
Dataset curation and processing
Proficiency in PyTorch and/or JAX

Perks:

Competitive equity packages through stock options
Comprehensive benefits plan

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.

View Full Job Description

$200.0K - $300.0K/yr (Outscal est.)

$250.0K/yr avg.

Palo Alto, California, United States

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