Forward Deployed Engineer
Reactor · San Francisco
Infrastructureonsitemid-levelCompetitive SF salary and meaningful early equity
At a glance
Highlights
- Deploy world models on-site with top labs end to end to production quality.
- Optimize latency and throughput so real-time interactive video feels real.
- Define forward deployment working directly with founders at Reactor.
What they offer
- Meaningful early equity
- Visa sponsorship and relocation support
- Generous health, dental, and vision coverage
- Travel covered for on-site integrations
Ideal candidate
ML-minded builder who thrives in ambiguity and loves being on-site with partners. You care about real-time experiences and owning deployments end to end to make cutting-edge models real.
Requirements
- 3+ years in ML engineering or technical role working directly with external teams
- Comfortable reading and writing production-level Python and debugging inference pipelines
- Strong knowledge of PyTorch and modern ML inference optimization techniques
- Comfortable with ambiguity, travel, and flying to unblock a partner
- visa sponsorship
- Visa sponsorship available
Lab profile
About Reactor
Inference platform for real-time world models powering media, physical AI, and omni-directional applications.
What they build
- Inference platform for real-time world models
- Catalog of 15+ world models including LingBot World 2, LTX 2.5 Realtime, HappyOyster
Known for
- Largest and fastest world model catalog
- Real-time optimized inference
- Works with Alibaba, Amazon, and NVIDIA
Key facts
- Raised $59M led by Lightspeed
- Backed by Amplify Partners, WndrCo, and NVentures
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