Machine Learning Scientist

Tech Stack

Responsibilities

• Work closely with the founding team and have ownership of a wide variety of technical decisions on how we build and deploy our state of the art ML models.
• Train state-of-the-art models using distributed PyTorch.
• Design, train, and evaluate machine learning models across the entire stack.
• Independently own research projects from start to finish.
• Train large generative models from scratch, including LLMs or diffusion models.

Benefits

• 401k
• Equity
• Health Insurance
• Learning Budget
• Parental Leave
• Unlimited PTO

Culture

Requirements