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Research Manager

San Francisco💼 Full-time🗓 2026-09-25 → 2026-09-30

Core

Lead research to improve HUD's agent training data and evaluation methods for frontier AI models.

Role type

Senior Research Manager (IC)

Builds

Scalable RL training data infrastructure and evaluation frameworks for frontier labs

Domain

Artificial Intelligence / Reinforcement Learning

Deliverable

production ML models

Required skills

Machine learning, Reinforcement learning, Research project leadership, Experimental design, Data quality validation, Technical mentoring

Preferred skills

Agent training data expertise, Reward hacking diagnosis, Scalable data pipeline development, Startup experience

Technologies

RL training infrastructure, Evaluation benchmarks, Synthetic data systems

Responsibilities

Set research direction for data quality metrics, Lead research engineers through experiments, Design experiments connecting model behavior to data design, Develop methods for validating training data at scale, Partner with experts to turn insights into workflows, Communicate research findings and tradeoffs

Seniority

Senior, hands-on IC

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