Technical Program Manager, RL Research
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About The Team
Our Reinforcement Learning teams are central to advancing our AI systems, contributing to every Claude model and driving the autonomy and coding gains in our latest releases. The work spans computer use, code generation through RL, fundamental RL research for large language models, scalable infrastructure and training methodologies, and model reasoning. The Research TPM team supports the full model development lifecycle, from pre-training through post-training, operating at the frontier of AI development.
About the Role
As a Technical Program Manager on the reinforcement learning team, you will own the systems and programs that determine how fast our research moves: a trustworthy read on the state of RL research, the review and prioritization processes that turn that read into critical decisions for production RL runs. Strong candidates should have an ML engineering or research background and have grown into program leadership.
Responsibilities
- Deliver a regular read on the ground truth in RL research, covering performance against baselines, experiment results, day-to-day health, and incidents
- Work with RL org leads on prioritizing, ranking, and tracking the state of experiments
- Drive research reviews end to end in partnership with set the agenda, make sure the right context is in the room ahead of time, and close the loop on what gets decided
- Establish processes and frameworks that bring structure to an unstructured research setting without slowing researchers down
- Collaborate with research leads, infrastructure engineers, and data operations to identify blockers, prioritize competing needs, and make technical trade-off decisions
Qualifications
- A background in ML engineering or ML research before transitioning to technical program management
- Deep, hands-on experience with ML training pipelines, RLHF systems, and large-scale data infrastructure in production
- A track record of building execution plans and inventing high-leverage processes that reduce operational overhead and let researchers focus on research
- A fast learner who builds deep contextual understanding in unfamiliar technical domains and can contribute meaningfully to discussions with researchers
- Resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in a fast-moving research setting
- Excellent stakeholder management and communication skills, with the ability to influence senior technical staff through clarity, competence, and consistent delivery
- Excited about pushing the frontier of what RL can do at scale
Pay
Annual Salary: $365,000—$435,000 USD
Schedule
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience. Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience. Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.