AI/ML Battery Manufacturing Technologist

Ford Motor Company•Glendale, KY
•$132,800 - $250,800•Hybrid

About The Position

Ford Energy is a newly formed, wholly-owned subsidiary of Ford Motor Company dedicated to accelerating U.S. energy independence. Leveraging Ford’s century of manufacturing excellence and world-class battery energy storage systems (BESS) technology, Ford Energy designs, manufactures, and services grid-scale and commercial DC battery energy storage systems (BESS). Ford Energy is uniquely positioned to capture the growing demand for reliable, US-built energy storage systems. We are not just building batteries; we are building the infrastructure for the next generation of the American grid. At Ford Energy, you have the backing of an industrial manufacturing powerhouse with the agility of a dedicated energy startup offering industry leading technology. We offer a competitive compensation package including performance-based bonuses, Ford vehicle discounts, and the opportunity to shape the energy strategy of one of the world's most iconic brands.

Requirements

  • Bachelors 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.

Nice To Haves

  • battery, semiconductor, coatings, or another high-volume process experience

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.

Benefits

  • performance-based bonuses
  • Ford vehicle discounts
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