Technical Program Manager, RL Infrastructure & Reliability

DeepMind•Mountain View, CA

59d•$156,000 - $229,000

About The Position

As a Technical Program Manager for Reinforcement Learning (RL) Infrastructure & Reliability, you will focus on a critical, rapidly evolving area: the post-training stack that refines and improves Gemini models. You will be a hands-on driver of technical programs, embedding with engineering teams to enhance the reliability, performance, and scalability of the infrastructure that powers our most advanced RL workloads. This role is for a TPM who thrives on ambiguity and technical depth. You will lead concrete engineering initiatives, from driving performance optimization programs to owning the execution of reliability roadmaps. Your work will have a direct and measurable impact on the quality of our models and the velocity of our research.

Requirements

Bachelor's degree in a technical field or equivalent practical experience.
5 years of experience in program or project management in a technical software environment.
Experience working directly with engineering teams on the software development lifecycle.

Nice To Haves

5+ years of relevant work experience.
Experience with machine learning workflows, particularly in training, post-training, or MLOps. Direct experience with Reinforcement Learning (RL) is a strong plus.
Strong analytical skills, with experience in performance analysis, reliability engineering (SRE), or technical efficiency projects.
Proficiency with project management and development tools (e.g., Jira, Gantt charts) for managing technical backlogs.
Excellent interpersonal and communication skills, with a demonstrated ability to work effectively in ambiguous, fast-paced R&D environments.

Responsibilities

Performance & Efficiency Optimization: Drive technical programs focused on optimizing the performance and efficiency of post-training and RL workloads. This includes quantitative analysis, developing shared dashboards, and guiding engineering execution on improvements.
Reliability Roadmap Execution: Execute key projects from the post-training reliability roadmap, such as improving monitoring tools and centralizing core services, to enhance the stability of the entire stack.
Code Health Initiatives: Own the technical project management for initiatives aimed at improving the long-term health, testability, and maintainability of the RL infrastructure codebases.
Roadmap & Backlog Management: Manage the engineering backlog and tactical execution for core RL framework development, ensuring progress is tracked and aligned with the team's strategic roadmap.
Cross-Functional Coordination: Build effective working relationships with engineering teams, guiding alignment on project goals, managing interdependencies, and ensuring clear communication and risk management.
Program Governance: Contribute to the broader program management of the Frameworks and Infrastructure team, providing clear stakeholder updates and supporting team-wide events.