The Role
The Research Scientist will develop and train generative AI models across various modalities, optimize models using reinforcement learning, and innovate training techniques on distributed systems. Responsibilities include curating datasets for pretraining and fine-tuning essential for advancing foundational models.
Summary Generated by Built In
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.
Top Skills
Pytorch,Jax
The Company
What We Do
An idea-to-video platform that brings your creativity to motion
