Research Scientist, Post-Training

Overview

Role focused on advancing methods for foundation models' usefulness and reliability.

Ideal candidate should have strong coding skills and first-author publications in ML/NLP.

Locations

• United States, California, San Francisco
• United States, California, London

Requirements

• Strong coding skills in Python and PyTorch
• First-author publications at leading ML/NLP conferences
• Ability to design and validate research ideas

Responsibilities

• Define research agenda for model training
• Conduct experiments to validate hypotheses
• Share findings at conferences
• Collaborate with ML Engineers

Benefits

• Competitive compensation
• Startup equity
• Health insurance
• Flexibility in remote work