# Software Engineer - ML Infrastructure at Epsilon Health

- Company: Epsilon Health
- What the company does: Frontier AI for medical imaging, built and deployed inside a working radiology practice.
- Company website: https://epsilon.health
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco, CA
- Work setup: On-site
- Posted: 2026-10-02
- Apply by: 2026-11-23
- Apply: https://jobs.ashbyhq.com/epsilon-health/b5ef89d4-1a4c-4302-8939-b6dbf3bb8c70?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/epsilon-health-software-engineer-ml-infrastructure/

## About the role

We’re looking for an ML infrastructure engineer to design and build the core systems that enable scalable, efficient training of large models for deployment and research. Your goal is to make experimentation and training at Epsilon Health fast and reliable to ensure our research teams can focus on science rather than system bottlenecks. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- 6+ years of experience designing, building, and operating large-scale distributed systems or infrastructure in production
- Have 2+ years of experience building ML infrastructure or systems in production
- Strong Python skills and expertise in PyTorch or JAX
- Experience and familiarity with the compute, tooling, and workflow needs of large-scale machine learning research
- Experience building infrastructure or platforms specifically for research or machine learning workflows
- Deep experience building and operating Kubernetes and cloud infrastructure at scale

Tags: Engineering

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/epsilon-health-software-engineer-ml-infrastructure/