Member of Technical Staff - Post-Training

Highlights

• Transform powerful pre-trained models into aligned, general agents.
• Push the frontier of post-training from data curation to large-scale optimization.
• Develop reward models, RL algorithms, and inference-time scaling techniques.

What they offer

• Top-tier salary and global equity compensation
• Stock options for all employees
• Comprehensive medical, dental, vision, life and wellness allowance
• Daily lunch and dinner in office
• 22 weeks paid parental leave for all parents
• Unlimited PTO in US and 30 days in UK
• Regular off-sites, happy hours and team celebrations

Ideal candidate

High-agency ML engineer-researcher who thrives in fast startups and cares about open intelligence. You love owning ambitious agendas and bridging research with infrastructure to advance reasoning.

Requirements

• Deep understanding of machine learning fundamentals and practical experience with large-scale LLM training
• Strong engineering skills, comfortable diving into complex ML codebases and distributed systems
• Experience improving model behavior through data, reward modeling, or RL techniques
• Evidence of owning ambitious research or engineering agendas that led to measurable model improvements
• Thrive in a fast-paced, high-agency startup environment with bias toward action
• Able to work fluidly across research and infra boundaries
• Strong communication capabilities and comfort working collaboratively