Hiring: Technical Program Manager, RL Scaling, DeepMind Company: Google DeepMind Location: Mountain View, CA Job Posted Time: 2026-09-12 11:02:08 Target Skills & Keywords : AI, Data Pipeline, LLM, Program Management, Reinforcement Learning About the job Experience: •5 years of experience in technical program management. •5 years leading cross-functional AI model programs, with expertise in large-scale distributed training pipelines and reinforcement learning. •Over 5 years leading cross-functional AI model programs, with expertise in large-scale distributed training pipelines and reinforcement learning. Required Skills: •Learn more about benefits at Google . •Scope, plan, and lead execution for RL research workstreams in collaboration with tech leads, turning research hypotheses into structured roadmaps, experiment plans, and deliverable model milestones. •Partner with engineering and infrastructure leads to manage and track experiments and compute allocations, enabling prioritization, monitoring training efficiency, and unblocking runs. •Identify and resolve cross-functional dependencies across the RL research ecosystem (data pipelines, evaluations, distributed infrastructure) and partner teams. •Establish reliable operational rhythms including experiment status dashboards, launch criteria, retrospectives, and milestone reviews, synthesizing complex training dynamics into actionable updates for tech leads and leadership. Qualifications: •Bachelor's degree in Computer Science, a related technical field or equivalent practical experience. •Master's degree or PhD in Computer Science or a closely related technical field. •Proven ability to design lightweight, high-impact processes that structure fast-moving research environments without hindering team velocity. •Highly comfortable with ambiguity; a strong communicator who builds trust and drives alignment across engineering, research, and leadership stakeholders. •The Gemini Reinforcement learning (RL) Scaling team is at the frontier of reinforcement learning research for large language models, driving the reasoning, multimodal, and agentic capabilities that define the next generation of Gemini models. •We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. •Individual pay is determined by factors including job-related skills, experience, and relevant education or training. •US: $217000 - $236000 (USD) + 15% bonus target + equity + benefits Compensation: •US: $217000 - $236000 (USD) + 15% bonus target + equity + benefits Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!