Primeintellect
Applied Research - RL & Agents
San Francisco · Exec
Sponsorship not specified$150k-$300kDetected 14 days ago
TypeScriptReactNext.jsFull-Stack DevelopmentDatabricksDockerKubernetesTerraformPrometheusGrafanaDatadogMachine LearningLLMsAgentic AILangGraphAI OrchestrationResearchWriting
About the role
- Shape the evolution of agent-driven solutions-from research breakthroughs to production systems used by real customers.
- Grow with a fast-moving organization where your contributions directly influence both the technical direction and the broader AI ecosystem.
Responsibilities
- the infrastructure frontier AI labs build internally, made available to every ambitious AI team.
- Collaborate with leading researchers, engineers, and partners pushing the boundaries of RL and post-training.
- Visa Sponsorship & relocation support
- If you're excited to move fast, build boldly, and help define how agentic AI is developed and deployed, we'd love to hear from you.
- Ready to build the open superintelligence infrastructure of tomorrow?
Requirements
- 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.
- Experience with web programming (React, TypeScript, Next.js).
- Experience running LLM evaluations and/or synthetic data generation.
- Experience deploying containerized systems at scale (Docker, Kubernetes, Terraform).
Skills
- Shape the direction and feature set for verifiers, the Environments Hub, training services, and other research platform offerings.
- Prototype agents and eval harnesses tailored to real-world use cases and external systems.
- Prototype multi-agent and memory-augmented systems to expand capabilities for downstream applications.
- Experiment with post-training recipes to optimize downstream performance.
- Rapidly prototype and iterate on AI agents for automation, workflow orchestration, and decision-making.
Compensation
- Cash Compensation Range of $150-300k + equity incentives
Benefits
- Cash Compensation Range of $150-300k + equity incentives
- Flexible Work (San Francisco or hybrid-remote)
Company info
- Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models.
Visa & Work Authorization
- Visa Sponsorship & relocation support
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