Research Manager - Post-Training for Agents
Core
Lead a team in fundamental research on post-training and autonomous agents, focusing on reinforcement learning, simulated environments, and synthetic data generation for complex real-world systems.
Role type
Senior IC research manager (autonomous agents & RL)
Builds
Scalable agent training capabilities, simulated environments, and evaluation frameworks for Datadog's observability and security platform
Domain
AI Research / Machine Learning / Observability & Security
Deliverable
production ML models
Required skills
Reinforcement learning, AI agents, post-training methods, generative modeling, team leadership, research strategy, technical problem-solving
Preferred skills
Publications at top-tier conferences, open-source contributions, cross-functional collaboration
Technologies
Reinforcement learning frameworks, simulated environments, synthetic data pipelines, evaluation frameworks
Responsibilities
Set technical direction for research programs, mentor researchers and engineers, design RL approaches and training loops, build simulation and evaluation frameworks, collaborate with product/engineering teams, contribute to publications and open-source artifacts
Seniority
Senior, hands-on IC with team leadership
