Forward Deployed Engineer

Department: EngineeringLocation: San FranciscoDescriptionThis role sits at the intersection of ML engineering and customer partnership. You will be the person who makes it real for our lab partners, going on-site to their offices, understanding their models deeply, and doing whatever it takes to get them running at production quality on Reactor's infrastructure.This is not a support role. You will be making critical technical and product decisions and working directly with the founders. You will be one of the first people to define what forward deployment looks like at Reactor.What You'll DoTravel to top world model labs, integrate their models onto Reactor's infrastructure, and own the deployment end to endProfile and optimize model performance to hit the latency and throughput targets that make real-time interactive video feel realBe the voice of the lab partner inside Reactor and make product decisions that directly shape what we build nextWho You Are3+ years in ML engineering or a technical role working directly with external teamsComfortable reading and writing Python at a production level and tracing through inference pipelines to find and fix bottlenecksStrong knowledge of PyTorch and modern ML inference optimization techniquesComfortable with ambiguity, travel, and getting on a plane to unblock a partnerNice to HaveExperience with diffusion models, video generation, or world modelsFamiliarity with real-time streaming systemsCUDA kernel optimization, TensorRT, or custom inference frameworksExisting relationships in the generative video or foundation model ecosystemBenefitsCompetitive SF salary and meaningful early equityVisa sponsorship and relocation supportGenerous health, dental, and vision coverageTravel covered for on-site integrations