The Role
This role involves developing and training generative AI models across various modalities, optimizing models via reinforcement learning, and innovating efficient techniques on large-scale distributed systems. Key responsibilities include curating datasets for model pretraining and fine-tuning.
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.
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The Company
What We Do
An idea-to-video platform that brings your creativity to motion
