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Forward Deployed Engineer
Accepting applicationsReactor · San Francisco, CA
Full-Time Mid_senior Pythonaterf
Posted
6 May
Category
Test
Experience
Mid_senior
Country
United States
Department: Engineering
Location: San Francisco
Description
This 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 Do
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 the latency and throughput targets that make real-time interactive video feel real
Be the voice of the lab partner inside Reactor and make product decisions that directly shape what we build next
Who You Are
3+ years in ML engineering or a technical role working directly with external teams
Comfortable reading and writing Python at a production level and tracing through inference pipelines to find and 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
Nice to Have
Experience with diffusion models, video generation, or world models
Familiarity with real-time streaming systems
CUDA kernel optimization, TensorRT, or custom inference frameworks
Existing relationships in the generative video or foundation model ecosystem
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
Show more Show less
Location: San Francisco
Description
This 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 Do
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 the latency and throughput targets that make real-time interactive video feel real
Be the voice of the lab partner inside Reactor and make product decisions that directly shape what we build next
Who You Are
3+ years in ML engineering or a technical role working directly with external teams
Comfortable reading and writing Python at a production level and tracing through inference pipelines to find and 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
Nice to Have
Experience with diffusion models, video generation, or world models
Familiarity with real-time streaming systems
CUDA kernel optimization, TensorRT, or custom inference frameworks
Existing relationships in the generative video or foundation model ecosystem
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
Show more Show less