AI/ML Integration Technologist (Battery Mfg)

About the Role

Ford Energy is a newly formed, wholly-owned subsidiary of Ford Motor Company dedicated to accelerating U.S. energy independence. We are not just building batteries; we are building the infrastructure for the next generation of the American grid.

In this position, you will drive continuous improvement in yield, scrap, quality, and throughput, and find the next opportunities the central technologist can turn into standards.

Key Responsibilities

• Work the line day to day: find the losses (scrap, downtime, quality escapes) and put AI and analytics against the ones that pay.
• Build and deploy models on plant data for coating and formation quality, defect detection, and yield root cause, with the central technologist and vendors.
• Turn model output into action: parameter changes, error-proofing, and standard work with process, controls, and quality.
• Feed findings and reusable assets back to the central technologist so both plants benefit.
• Own the local data connection: MES, historians, PLC, and OT data, and inline metrology.

Qualifications

• Bachelor of Engineering (Mechanical, Industrial, or Electrical preferred), with coursework or hands-on work in ML, data science, or analytics.
• Strong plant-floor instinct.
• Comfortable with Python and plant data (MES, historians such as PI or Ignition, PLC data).
• Process or manufacturing engineering experience; battery, semiconductor, coatings, or another high-volume process is a plus.
• Bias to action, and the credibility to work shoulder to shoulder with operators, technicians, and process engineers.

This position is leadership level 6 and ranges from $132,800-$250,800.

This position is hybrid with a requirement to be onsite four or more days per week.