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Member of Technical Staff, Post-Training, RL Infra

Mirendil· Tech
Apply on company site
San Francisco$300k - $400kFull-timePosted 4mo ago

About the role

Engineer role focused on building the post-training stack for frontier RL models, combining research and infrastructure to scale and improve RL training, evaluation, data pipelines, and production readiness at Mirendil.

Responsibilities

  • Design and build reliable infrastructure for large-scale RL training
  • Implement novel performance optimizations across the training stack
  • Develop evaluation and benchmarking infrastructure to measure model progress, throughput, and uptime
  • Build data collection and feedback pipelines that close the loop between human signal, reward modeling, and training
  • Collaborate with multiple teams to rapidly iterate on RL algorithms and get experiments into production training runs

Skills

Required:RL infrastructurePerformance optimizationEvaluation and benchmarkingData collection and feedback pipelines
Nice to have:Cross-team collaboration

Benefits

  • Competitive benefits
  • Meaningful equity grant
Last updated Aug 27, 2026. Interested? Apply on the company site.

About Mirendil

Mirendil — a frontier lab building systems that excel at AI R&D.

AI R&Dfrontier AIdemocratize frontier AI R&Dsystems that excel at AI R&D
Company profileWebsite

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