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Applied Research - Forward-Deployed RL

Prime Intellect· Applied Research
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San Francisco, New York, Remote, London$150k - $300kFull-timePosted 5d ago

About the role

Applied RL role focused on owning RL programs from ambiguous customer problems to deployed improvements, interfacing with external customers and integrating results into Prime's shared stack.

Responsibilities

  • Applied Research at Prime: turn workflows into tasks, environments, evaluations, and rewards; run post-training experiments against baselines; deploy successful results; assess whether gains come from model, data, harness, inference, or infrastructure; create reusable research, open-source systems, and product capabilities.
  • Role scope: active programs across technology, science, engineering, regulated industries, and the public sector.
  • Representative early problems: turning a workflow and business goal into an environment, baseline, and evaluation; improving a domain agent via RL or post-training methods while separating model limitations from task/harness/inference/integration failures; deploying a successful experiment and converting recurring parts into reusable artifacts.
  • What you will own: technical and business discovery with research plan, success measure, environment, and baseline; RL and post-training experiments tied to deployment outcomes; agent systems for tool use, memory, recovery, long horizons, and human oversight; deployment and adoption decisions and reusable artifacts.

Qualifications

  • Relevant experience: customer-embedded technical work, research engineering, technical founding experience, applied ML consulting with real build ownership, or end-to-end post-training programs.
  • Ability to engage with senior external teams and translate experimental evidence into business decisions without compromising research standards.
  • Hands-on experience building and debugging model-training, post-training, agent, evaluation, or closely adjacent experimental loops.
  • Strong experimental judgment: baselines, trace inspection, failure attribution, willingness to pivot as evidence evolves.
  • Strong Python and ability to build reproducible artifacts for researchers/engineers.
  • Comfort owning ambiguous problems and keeping partners/teammates informed as issues are resolved.

Skills

Required:Applied RL / RLExperimentation & EvaluationPythonExternal stakeholder management
Nice to have:Deployment & Platform Knowledge

Benefits

  • Cash Compensation Range of $150-300k + equity incentives
  • Flexible Work (San Francisco, New York, London, or remote)
  • Visa Sponsorship & relocation support
  • Professional Development budget
  • Team Off-sites & conference attendance
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Prime Intellect

Commoditizing Compute & Intelligence

Prime Intellect democratizes AI development at scale. Our platform makes it easy to find global compute resources and train state-of-the-art models through distributed training across clusters. Collectively own the resulting open AI innovations, from language models to scientific breakthroughs.

AI developmentbessemer-ai-infrastructure-2026compute resourcesdistributed trainingmodelsreinforcement-learning-platformsscience
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