Forward Deployed Engineer

Reactor; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive salary

Visa sponsorship

Health, dental, and vision coverage

Travel covered for on-site integrations

Job summary

Reactor is seeking an ML Engineer to integrate top models onto its infrastructure in San Francisco. This role requires 3+ years in ML engineering, strong Python skills, and expertise in PyTorch. The candidate will travel to partner labs, optimizing model performance and shaping product decisions. Benefits include a competitive salary, equity opportunities, and comprehensive health coverage.

Qualifications

• 3+ years in ML engineering or a technical role working directly with external teams.
• Comfortable reading and writing Python at a production level.
• Strong knowledge of modern ML inference optimization techniques.

Responsibilities

• Travel to top world model labs and integrate their models onto Reactor's infrastructure.
• Profile and optimize model performance to meet latency and throughput targets.
• Be the voice of the lab partner inside Reactor.

Skills

ML engineering experience

Python programming

Knowledge of PyTorch

Model performance optimization

Ability to work with external teams

Tools

CUDA

TensorRT

Job description

Overview

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, and will be one of the first people to define what forward deployment looks like at Reactor.

Department: Engineering

Location: San Francisco

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