Primeintellect

Primeintellect

Applied Research - Evals & Data

San Francisco · Exec

Sponsorship not specified$150k-$300kDetected 14 days ago
Distributed SystemsFull-Stack DevelopmentDatabricksDockerKubernetesTerraformHelmPrometheusGrafanaDatadogMachine LearningData EngineeringAgentic AIAI OrchestrationResearch

About the role

  • Shape the evolution of agent-driven, data-informed 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, evaluation, 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 applied data workflows and evaluation frameworks for large models or agents (e.g., SWE-Bench, HELM, EvalFlow, internal eval pipelines).
  • Deep expertise in distributed training/inference frameworks (e.g., vLLM, sglang, Ray, Accelerate).
  • Experience deploying containerized systems at scale (Docker, Kubernetes, Terraform).
  • Track record of research contributions (publications, open-source contributions, benchmarks) in ML/RL.

Skills

  • Prototype agents, data pipelines, and eval harnesses tailored to real use cases, then hand off hardened systems to core teams.
  • Translate customer insights and evaluation results into roadmap and research direction.
  • Prototype multi-agent and memory-augmented systems to expand capabilities for customer-facing solutions.
  • 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 (remote or San Francisco)

Company info

  • Translating customer needs and insights from applied data into clear technical requirements that guide product and research priorities.
  • Collaborating closely with RL and eval teams to ensure real-world signals inform model alignment and reward shaping.
  • 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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