Applied Machine Learning Engineer
Ohm, San Francisco, California +1
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 will 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.