Technical Program Manager (RL Research)

Anthropic

York and North Yorkshire

On-site

GBP 90,000 - 130,000

Full time

14 days+
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Benefits offered by this job

Health insurance
Dental & vision coverage
Flexible time off
Paid parental leave
Mental health support
Competitive salary and equity packages
Relocation support
Home office stipend
Annual education stipend
Commuter benefits
Office meals

Job summary

Anthropic is seeking a Technical Program Manager for the reinforcement learning team in a role that prioritizes fast, reliable research progression. You will own systems to read and prioritize RL experiments, coordinate across research, infrastructure, product, and data operations, and lead end-to-end reviews to keep research moving with clarity and speed.

The role requires a strong ML engineering or research background, with hands-on experience in ML training pipelines and RLHF systems, plus

Qualifications

  • Ability to build execution plans and high-leverage processes that reduce operational overhead.
  • Background in ML engineering or ML research before transitioning to technical program management.
  • Experience reading RL transcripts, debugging data pipelines, and making real-time allocation decisions.
  • Strong stakeholder management and communication skills to influence senior technical staff.
  • Ability to navigate a fast-growing org and coordinate across research, infrastructure, product, and data operations.
  • Hands-on experience with ML training pipelines, RLHF systems, and large-scale data infrastructure in production.

Responsibilities

  • Own the systems and programs that determine how fast our research moves, including reviews and prioritization.
  • Lead end-to-end research reviews, ensuring the right context is in the room before decisions.
  • Develop processes and frameworks to bring structure to unstructured research without slowing researchers.
  • Collaborate with research leads, infrastructure engineers, and data operations to identify blockers and trade-offs.
  • Deliver regular readouts on RL research progress, performance vs baselines, and incident health.

Skills

Program leadership
Stakeholder management
ML engineering background
Research background
ML training pipelines

Job description

  • 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 decision for production RL runs
  • Strong candidates should have an ML engineering or research background and have grown into program leadership
  • You'll need real technical depth: the ability to debug data pipelines, read RL transcripts to spot issues, and make allocation and quality decisions in real time when research or production runs hit problems
  • You'll need organizational effectiveness in equal measure: the ability to navigate a fast-growing organization, quickly identify the critical people and teams across research, infrastructure, product, and data operations, and coordinate across them without losing velocity
  • Join us in our mission to build AI systems that are safe, reliable, and beneficial to humanity
  • 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
Benefits
  • Comprehensive health, dental, and vision insurance for you and your dependents
  • Inclusive fertility benefits via Carrot Fertility
  • 22 weeks of paid parental leave
  • Flexible paid time off and absence policies
  • Mental health support for you and your dependents
  • Competitive salary and equity packages
  • Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
  • Retirement plans with competitive matching
  • Life and income protection plans
  • $500/month flexible wellness and time saver stipend
  • Commuter benefits
  • Annual education stipend
  • Home office stipends
  • Relocation support for those moving for Anthropic
  • Daily meals and snacks in the office

Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in a fast-moving research settingHave excellent stakeholder management and communication skills, with the ability to influence senior technical staff through clarity, competence, and consistent deliveryHave a background in ML engineering or ML research before transitioning to technical program managementHave a track record of building execution plans and inventing high-leverage processes that reduce operational overhead and let researchers focus on researchAre a fast learner who builds deep contextual understanding in unfamiliar technical domains and can contribute meaningfully to discussions with researchersHave deep, hands-on experience with ML training pipelines, RLHF systems, and large-scale data infrastructure in productionAre excited about pushing the frontier of what RL can do at scaleWe encourage you to apply even if you do not believe you meet every single qualification

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