Applied Machine Learning Engineer

About Ohm Ohm is an enterprise AI platform that helps Fortune 100 engineering teams transform how they develop, test, and validate physical products. Cursor and Claude Code reimagined how software products are developed.

Our mission is to address the next frontier: bringing that same shift to how physical products are developed. Every complex physical product - a battery cell, an electric vehicle, a wearable device - is developed through a process that generates enormous quantities of data, almost none of which is used to its potential.

This is precisely the kind of problem modern AI is suited to solve. We are recruiting exceptional scientists, engineers, and operators to join our mission to reimagine how products are engineered in the next decade. Ohm is backed by Y Combinator and other world-class investors, as well as serial founders and builders.

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. You will work directly with the founder, the Head of Engineering, and engineering teams at Ohm's customer accounts.

The role blends research depth with practical delivery, and requires someone who can align stakeholders and communicate technical decisions clearly. What you'll do Own machine learning problems end to end - from problem framing and experimentation through deployment and ongoing support in live customer environments.

Work closely with engineering, product, and client-facing teams to turn machine learning methods into production-ready solutions that can be trusted in real customer environments. Build and support models running in production, where their output drives real engineering decisions.

Communicate technical decisions clearly to technical