Member of Technical Staff, Research

About the job

Responsibilities

• Architect and execute a research agenda to find simple, generalizable ideas that advance model reasoning at scale, owning it from hypothesis through to live systems.
• Build long-horizon agentic tasks that remain difficult for future models, with graders that assign partial credit meaningfully and resist exploitation.
• Diagnose model failure modes by analyzing trajectories and translating insights into data or reward signal improvements.
• Partner with advanced AI research teams on datasets and benchmarks focused on alignment, safety, and reward signal design.
• Identify, scope, and lead long-term projects, prioritizing those most critical for scaling data towards AGI.
• Collaborate with engineering on data pipelines, internal tooling, and deep learning implementations, fixing workflows that produce bad data.

Requirements

• Strong software engineering skills with deep Python expertise, comfortable owning systems end-to-end and debugging complex codebases.
• Experience building evaluations, RL environments, agent harnesses, verifiers, or execution sandboxes.
• Proven track record of shipping research into production, including post-training, distillation, and high-stakes evaluation.
• Experience with large-scale agent systems, including orchestration frameworks, tool APIs, distributed execution, observability, and logging.
• Ability to reach ground truth in unfamiliar domains by building and analyzing outputs.
• Keen eye for identifying misspecified tasks, ambiguous prompts, and gameable graders.
• Thoughtful perspective on the societal and safety impacts of deploying general-purpose AI systems.

Benefits

• Base Salary: $250,000 - $450,000
• Sizable performance bonus tied to project and company milestones
• Generous early-stage equity grant
• Health, dental, vision insurance
• Flexible PTO