← All roles

Applied Research - RL & Agents

Prime Intellect· Applied Research
Apply on company site
San Francisco, New York$150k - $300kFull-timePosted 11mo ago

About the role

Role at the intersection of cutting-edge RL/post-training methods and applied agent systems, shaping how advanced models are aligned, deployed, and used in real-world workflows.

Responsibilities

  • Advancing Agent Capabilities: Designing and iterating on next-generation AI agents that tackle real workloads—workflow automation, reasoning-intensive tasks, and decision-making at scale.
  • Building Robust Infrastructure: Developing the systems and frameworks that enable these agents to operate reliably, efficiently, and at massive scale.
  • Bridge Between Applications & Research: Translate ambiguous objectives into clear technical requirements that guide product and research priorities.
  • Prototype in the Field: Rapidly design and deploy agents, evals, and harnesses for real-world tasks to validate solutions.
  • Application-Driven Research & Infrastructure: Shape the direction and feature set for verifiers, the Environments Hub, training services, and other research platform offerings.
  • Build high-quality examples, reference implementations, and “recipes” that make it easy for others to extend the stack.
  • Prototype agents and eval harnesses tailored to real-world use cases and external systems.
  • Pair with technical end-users to design environments, evals, and verifiers that reflect real workloads.
  • Post-training & Reinforcement Learning: Design and implement novel RL and post-training methods (RLHF, RLVR, GRPO, etc.) to align large models with domain-specific tasks.
  • Build evaluations and harnesses to measure reasoning, robustness, and agentic behavior in real-world workflows.
  • Prototype multi-agent and memory-augmented systems to expand capabilities for downstream applications.
  • Experiment with post-training recipes to optimize downstream performance.
  • Agent Development & Infrastructure: Rapidly prototype and iterate on AI agents for automation, workflow orchestration, and decision-making.
  • Extend and integrate with agent frameworks to support evolving feature requests and performance requirements.
  • Architect and maintain distributed training/inference pipelines, ensuring scalability and cost efficiency.
  • Develop observability and monitoring (Prometheus, Grafana, tracing) to ensure reliability and performance in production deployments.

Qualifications

  • Strong background in machine learning engineering, with experience in post-training, RL, or large-scale model alignment.
  • Experience with agent frameworks and tooling (e.g. DSPy, LangGraph, MCP, Stagehand).
  • Familiarity with distributed training/inference frameworks (e.g., vLLM, sglang, Accelerate, Ray, Torch).
  • Track record of research contributions (publications, open-source contributions, benchmarks) in ML/RL.
  • Passion for advancing the state-of-the-art in reasoning and building practical, agentic AI systems.
  • Strong technical writing abilities (documentation, blogs, papers) and research taste.
  • Eagerness to drive collaborations with external partners and engage with the broader open-source community.

Skills

Required:Post-training & RL methodsAgent frameworksDistributed training/inference

Benefits

  • Cash Compensation Range of $150-300k + equity incentives
  • Flexible Work (San Francisco or hybrid-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
Company profileWebsite

More open roles at Prime Intellect