Member of Technical Staff, AI Researcher

Skills

About the Role

You will blend research and engineering to build evaluation frameworks, benchmarks, reward models, verifiers and graders for frontier LLMs and agents. You will run controlled fine-tuning and reinforcement learning experiments, build human data systems, and move promising methods into production-quality implementations.

Requirements

• 5+ years in machine learning, AI, computer science, data science or software engineering
• Ability to operate at the intersection of AI research and software engineering
• Strong Python skills
• Hands-on experience with AI agents, model evaluations, reinforcement learning or post-training
• Understanding of frontier AI methods and training-data design
• Experience with reward models, verifiers or graders
• Strong analytical, communication and documentation skills
• U.S. citizenship required

Responsibilities

• Design and build evaluation frameworks and benchmarks for LLMs, agents, multimodal models and RL environments
• Develop reward models, programmatic verifiers and graders
• Run controlled SFT and reinforcement learning experiments
• Define what makes evaluations representative of real-world work
• Build systems for high-quality human data and annotation
• Prototype, evaluate and diagnose failure modes
• Move methods into scalable production implementations
• Contribute to benchmarks, open-source tools and technical writing

Benefits

• 100% employer paid health care including medical, dental and vision for you and your family
• Paid maternity and paternity leave for 14 weeks
• Unlimited PTO with management approval
• Optional 401K and FSA
• Equity incentives
• Mental health benefits through Tara Mind
• GLP-1 solutions through Crux