Research Engineer / Research Scientist - Post Training, Personalization

Skills

About the Role

You will research and develop improvements to memory usage and personalization in frontier models, working with reinforcement learning, dataset creation, evaluations and other post-training methods. You will own a research agenda, build robust evaluations, write and debug research code, and collaborate with research and product teams.

Requirements

• Background in frontier model post-training
• Ability to iterate quickly
• Deep understanding of frontier model post-training and machine learning applications
• Experience with user signals and human data for training and evaluation
• Comfortable diving into a large ML codebase to debug

Responsibilities

• Own and pursue a research agenda for improving memory use and personalization in frontier models
• Build robust evaluations for tracking modeling improvements
• Design, implement, test, and debug code across the research stack
• Collaborate closely with research and product teams to influence technical solutions in the product

Benefits

• Equity
• Performance-related bonus
• Medical, dental, and vision insurance with HSA employer contributions
• Pre-tax Health FSA, Dependent Care FSA, and commuter accounts
• 401(k) with employer match
• Paid parental leave up to 24 weeks for birth parents and 20 weeks for non-birthing parents
• Paid medical and caregiver leave up to 8 weeks
• Flexible PTO for exempt employees
• 13+ paid company holidays and company office closures
• Paid sick or safe time
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend
• Daily meals in offices and meal delivery credits
• Relocation support
• Charitable donation matching and wellness stipends