Researcher, Training

Skills

About the Role

You will push the frontier of architecture development for flagship models. You will design, prototype and scale new architectures, run and analyze experiments, debug and optimize model and computational performance, and contribute to training and inference infrastructure. The role is based in San Francisco with a hybrid model of 3 days in the office per week.

Requirements

• Experience landing contributions to major LLM training runs
• Ability to evaluate and improve deep learning architectures in a self-directed fashion
• Knowledge of state-of-the-art transformer modifications for efficiency
• Deep understanding of LLM architectures and model inference

Responsibilities

• Design, prototype and scale up new architectures to improve model intelligence
• Execute and analyze experiments autonomously and collaboratively
• Study, debug and optimize model performance and computational performance
• Contribute to training and inference infrastructure

Benefits

• Equity
• Performance-related bonus
• Hybrid work model
• Medical, dental, and vision insurance with HSA employer contributions
• Health FSA, Dependent Care FSA, and commuter pre-tax accounts
• 401(k) with employer match
• Paid parental leave, medical and caregiver leave
• Flexible PTO
• 13+ paid company holidays
• Mental health and wellness support
• Employer-paid life and disability coverage
• Annual learning and development stipend
• Daily meals in offices and meal delivery credits
• Relocation assistance
• Charitable donation matching and wellness stipends