On-Site ML Deployment Engineer for Lab Partners

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

Benefits offered by this job

Competitive salary

Early equity

Visa sponsorship

Relocation support

Health, dental, and vision coverage

Job summary

Reactor, based in San Francisco, is seeking a skilled ML Engineer to integrate partner models onto our infrastructure. This role demands travel to leading model labs and involves optimizing performance to enable real-time interactive experiences. Candidates should possess 3+ years of experience in ML engineering, strong skills in Python and PyTorch, and the ability to make impactful product decisions.

We offer competitive salaries, early equity opportunities, and support for visa and relocation, along with generous health and dental benefits.

Qualifications

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

Responsibilities

• Travel to model labs, integrate their models onto Reactor's infrastructure.
• Profile and optimize model performance for latency and throughput.
• Make product decisions that shape Reactor's future.

Skills

ML engineering

Python

PyTorch

Model performance optimization

Job description

Reactor, based in San Francisco, is seeking a skilled ML Engineer to integrate partner models onto our infrastructure. This role demands travel to leading model labs and involves optimizing performance to enable real-time interactive experiences. Candidates should possess 3+ years of experience in ML engineering, strong skills in Python and PyTorch, and the ability to make impactful product decisions.

We offer competitive salaries, early equity opportunities, and support for visa and relocation, along with generous health and dental benefits.