About this role
Based in Columbus, Ohio, the Data Engineer, ML Ops position at Path Robotics involves architecting the core data platform to support machine learning and robotics development. This full-time role is suited for data professionals with production pipeline experience who want to build reliable data products for physical AI systems.
Role Overview
Path Robotics is seeking a Data Engineer, ML Ops to join the team in Columbus, Ohio, reporting to the Data Engineering Manager. The person in this role will design and manage the data infrastructure that allows machine learning and robotics groups to deploy production solutions rapidly. Responsibilities include collaborating cross-functionally to turn data requirements into functional models and maintaining robust data governance.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Path Robotics creates AI-driven systems designed to help robots learn, adapt, and operate in real-world industrial environments to address the skilled labor shortage. The organization focuses on perception, reasoning, and control mechanisms to deliver reliable intelligence. The workplace encourages diverse perspectives, unique thinking, and values team contributions.
How to Apply
Interested candidates should submit their application through the official Path Robotics careers page.
Skills and tech stack
Questions candidates ask
Where is the Data Engineer, ML Ops position located?
The job is located in Columbus, Ohio.
How many years of experience are required for this role?
Candidates must have 2 or more years of experience in data engineering or a related field building production data pipelines.
What programming languages are needed?
The role requires strong proficiency in Python and SQL.
What benefits are offered?
Benefits include daily free lunch, flexible PTO, medical, dental, and vision coverage, an Empower 401(k) plan, parental leave, and referral bonuses.
Are there specific regulatory requirements for applicants?
Yes, because the role may support U.S. Government contracts, candidates might need to comply with federal regulations like ITAR, EAR, or export controls, which may require meeting the definition of a U.S. Person.