Agent Rl Infra Engineer

Sheto

Base: 224,000 usd - 356,500 usd; bonus/equity: eli...
Reinforcement learning operationalization
Distributed training frameworks
Pipeline automation and job orchestration
This role offers a rare chance to shape how autonomous, self-improving agents learn and evolve across the enterprise

Job Summary

  • This role offers a rare chance to shape how autonomous, self-improving agents learn and evolve across the enterprise.
  • The work involves creating enterprise-ready RL capabilities and partnering with agent teams to implement them in practice.
  • The base salary range is 224,000 USD - 356,500 USD, with eligibility for equity and benefits.

Matching Summary

This role offers a rare chance to shape how autonomous, self-improving agents learn and evolve across the enterprise.

Salary

Base: 224,000 USD - 356,500 USD; Bonus/Equity: Eligible for equity; Benefits: Eligible for benefits

Skills & Requirements

Must-have

  • Reinforcement learning operationalization
  • Distributed training frameworks
  • Pipeline automation and job orchestration
  • GPU cluster management
  • Python, Go, or Rust proficiency
  • Enterprise-ready RL blueprints

Nice-to-have

  • Building RL environments
  • NVIDIA infrastructure familiarity
  • Data curation and active learning
  • Continuous learning loops
  • Self-service RL capabilities

Key Requirements

  • MS in CS, ML, or related field or equivalent experience
  • 10+ years of experience
  • Experience with fine-tuning and RL techniques
  • Familiarity with distributed training and ML ops
  • Proficiency in relevant programming languages

Work Rights

Not specified

Tailored Resume

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