Member of Technical Staff, Research

THE ROLE

As the Member of the Technical Staff, you are the "PM of the model, " architecting the next generation of model reasoning and intelligence. You will lead at the absolute frontier where research and execution collide, co-designing strategies alongside top-tier researchers from AI labs to push SOTA boundaries. This is a role for a technical visionary with a "founder mentality" and a bias for extreme ownership, infiltrating unknown domains—from chemical engineering to complex legal logic—to extract insights for high-stakes frontier projects that others find impossible.

WHAT YOU’LL DO

Drive Foundational Research & Execution: Architect and execute a core research agenda to discover simple, generalizable ideas that advance model reasoning and intelligence at scale. This includes owning the full research-to-production lifecycle and ensuring rapid deployment of your work in live systems.

Model Alignment & Data Strategy: Partner with the world's most advanced AI research teams to design, engineer, and iterate on high-impact datasets and large-scale benchmarking efforts that shape how frontier models behave, specifically focusing on critical alignment, safety, and defining optimal reward signals.

Autonomous Problem Selection: Autonomously identify, scope, and manage long-running research projects, choosing the most impactful problems that are critical to scaling data for AGI/ASI.

System Infrastructure: Collaborate closely with engineering teams on data pipelines, internal tooling, and high-performance deep learning algorithm implementations.

WHO YOU ARE

Exceptional Research Depth & Strategic Vision: A PhD in a related field (e.g., CS, ML, NLP) with a world-class publication record (NeurIPS, ICML, ICLR). You must possess the velocity to master complex fields and a proven track record in the productization of research, encompassing high-stakes evaluation, large-scale benchmarking, and product feature development.

Proven experience shipping research directly to production and live systems, specifically focusing on advanced post-training, distillation, and high-stakes evaluation methodologies.

Large-scale agent systems: orchestration frameworks, tool APIs, distributed execution, observability, and logging infrastructure.

Strategic & Ethical Leadership: You possess a thoughtful, strategic perspective on the societal and safety impacts of deploying general-purpose AI systems. Experience advising on or shaping governmental policy related to AI safety and governance (e.g., House of Lords or Online Safety Bill initiatives) is nice to have.