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. This role involves driving continuous improvement in yield, scrap, quality, and throughput, and identifying opportunities for the central technologist to standardize.

Key Responsibilities

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

Requirements & Tech Stack

• Bachelors of Engineering (Mechanical, Industrial, OR Electrical preferred).
• Coursework or hands-on work in ML, data science, or analytics.
• Strong plant-floor instinct.
• Comfortable with Python.
• Experience with plant data systems like MES, historians (e.g., PI or Ignition), and 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 collaboratively with operators, technicians, and process engineers.

Qualifications

This position is leadership level 6.

Salary range: $132,800-$250,800.

Hybrid role requiring onsite presence four or more days per week.