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Forward Deployed Engineer

Reactor· Engineering
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Hybrid (San Francisco)Full TimePosted 5mo ago

About the role

Role at the intersection of ML engineering and customer partnership. On-site work with lab partners to deploy and optimize models on Reactor's infrastructure, influencing product direction and deployment practices.

Responsibilities

  • Travel to top world model labs, integrate their models onto Reactor's infrastructure, and own the deployment end to end
  • Profile and optimize model performance to hit latency and throughput targets for real-time interactive video
  • Be the voice of the lab partner inside Reactor and make product decisions that shape future development

Qualifications

  • 3+ years in ML engineering or a technical role working directly with external teams
  • Comfortable reading and writing Python at production level and tracing inference pipelines to fix bottlenecks
  • Strong knowledge of PyTorch and modern ML inference optimization techniques
  • Comfortable with ambiguity, travel, and getting on a plane to unblock a partner

Skills

Required:PythonPyTorch

Benefits

  • Competitive SF salary and meaningful early equity
  • Visa sponsorship and relocation support
  • Generous health, dental, and vision coverage
  • Travel covered for on-site integrations
Last updated Oct 15, 2026. Interested? Apply on the company site.

About Reactor

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