# Applied Machine Learning Engineer at Ohm

- Company: Ohm (YC W23)
- What the company does: Ohm helps engineering teams accelerate hardware development & testing. Backed by Y Combinator.
- Company website: https://www.ohm.ai
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco, CA / Remote (US)
- Work setup: Remote
- Posted: 2026-07-23
- Apply by: 2026-10-08
- Apply: https://www.ycombinator.com/companies/ohm-2/jobs/oAT3a9A-applied-machine-learning-engineer
- Page: https://www.1752.vc/careers/jobs/ohm-applied-machine-learning-engineer/

## About the role

As an Applied Machine Learning Engineer, you will take end-to-end ownership of complex machine learning and data science problems across the physical AI space. This is a high-impact role for someone with a strong technical foundation and a generalist mindset who can move from problem framing and experimentation through deployment and ongoing support.

## What they're looking for

- Applied ML experience. 3+ years in data science, machine learning, or applied AI, with evidence of delivering high-impact production ML systems
- STEM foundation. A background in engineering, physics, chemistry, or another STEM discipline connected to complex physical systems
- Real-world data fluency. Experience working with sparse, noisy, time-series, or high-dimensional datasets from engineering labs or other applied environments
- Cross-functional communication. Comfortable working with engineering, product, and customer-facing teams, and able to explain technical decisions clearly to different audiences
- AI-native. You use AI coding tools as your primary workflow, and have thought carefully about where AI can accelerate applied ML work

Tags: Engineering