Technical Program Manager, Reinforcement Learning

United States Digital Space LLC; New York, San Francisco (NY, CA); Hybrid; USD 365,000 - 435,000; Full time

Job summary

United States Digital Space LLC is seeking a Technical Program Manager on the reinforcement learning team to own the systems and programs that determine how fast our research moves: a trustworthy read on RL research, and 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, with the ability to debug data pipelines, read RL transcripts to spot issues, and coordinate across

Qualifications

• Background in ML engineering or ML research.
• Hands-on experience with ML training pipelines, RLHF systems, and large-scale data infrastructure in production.
• Proven track record building execution plans and high-leverage processes.
• Fast learner with ability to build deep contextual understanding in unfamiliar technical domains.
• Strong stakeholder management and communication skills driving clarity and delivery.
• Excited to push the frontier of RL at scale.

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, ensure context is in the room, and close the loop on decisions.
• Establish processes and frameworks that bring structure to a fast-moving research setting without slowing researchers down.
• Collaborate with research leads, infrastructure engineers, and data operations to identify blockers and make trade-off decisions.

Skills

ML engineering

ML research

ML training pipelines

RLHF systems

Data infrastructure

Stakeholder management

Communication

Education

Bachelor's degree

Job description

United States Digital Space LLC is seeking a Technical Program Manager on the reinforcement learning team to own the systems and programs that determine how fast our research moves: a trustworthy read on RL research, and 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, with the ability to debug data pipelines, read RL transcripts to spot issues, and coordinate across