End-to-End ML Engineer for Physical AI Solutions

Ohm; California (MO); On-site; USD 140,000 - 200,000; Full time

Job summary

Ohm is an enterprise AI platform helping Fortune 100 engineering teams transform how they develop, test, and validate physical products. We are recruiting exceptional scientists, engineers, and operators to join our mission to reimagine how products are engineered in the next decade.

As an Applied Machine Learning Engineer, you will take end-to-end ownership of complex ML and data science problems across the physical AI space.

Qualifications

• 3+ years in data science, machine learning, or applied AI with evidence of delivering high-impact production ML systems.
• STEM background in engineering, physics, chemistry, or related field.
• Experience working with sparse, noisy, time-series, or high-dimensional datasets from engineering labs or applied environments.
• Cross-functional communication with engineering, product, and customer-facing teams.

Responsibilities

• Own machine learning problems end to end—from problem framing and experimentation through deployment and ongoing support.
• Work closely with engineering, product, and client-facing teams to produce production-ready ML solutions.
• Build and support models running in production, whose outputs drive real engineering decisions.
• Communicate technical decisions clearly to both technical and non-technical audiences and align stakeholders.

Education

STEM degree

Job description

Ohm is an enterprise AI platform helping Fortune 100 engineering teams transform how they develop, test, and validate physical products. We are recruiting exceptional scientists, engineers, and operators to join our mission to reimagine how products are engineered in the next decade.

As an Applied Machine Learning Engineer, you will take end-to-end ownership of complex ML and data science problems across the physical AI space.