AI/ML Battery Manufacturing Technologist

Location: Dearborn, Michigan, United States; hybrid with a requirement to be onsite four or more days per week

Salary: $132,800–$250,800 annual base salary

Company

Ford Energy is a wholly owned hirify.global subsidiary that designs, manufactures, and services grid-scale and commercial battery energy storage systems.

What you will do

• Own the AI roadmap for battery manufacturing, prioritizing pilots, scaled solutions, and retirements based on yield, quality, cost, and launch speed.
• Benchmark AI capabilities across Ford battery sites and external cell makers, suppliers, semiconductor companies, and coatings providers.
• Build proofs of concept and reference architectures for formation and aging optimization, inline coating and defect vision, yield genealogy, and predictive maintenance.
• Define reusable data, labeling, and model standards across manufacturing plants.
• Evaluate vendors, guide embedded engineers, and align IT and OT stakeholders on security and scalability.
• Apply generative and agentic AI, including copilots and workflow agents, to engineering and plant workflows where appropriate.

Requirements

• Bachelor's degree in Electrical or Mechanical Engineering, or Computer Science.
• 10+ years of experience, including several years applying AI or ML to real production or process systems.
• Strong knowledge of manufacturing or process data, including multivariate and time-series data, SPC, design of experiments, and inline vision.
• Ability to work across battery manufacturing physics, process and controls engineering, and machine learning technical direction.
• Legal authorization to work in the United States is required; visa sponsorship is not available.

Nice to have

• Master's degree in AI, ML, data science, or computer science.
• Battery cell, semiconductor fab, or roll-to-roll coating experience.
• Cloud ML experience with GCP or Azure.
• Familiarity with LangGraph, ADK, AutoGen, or MCP agentic frameworks.

Culture & Benefits

• Medical, dental, vision, and prescription drug coverage from the start of employment.
• Paid parental leave, family care days, backup childcare, and family-building benefits.
• Vehicle discounts for employees and family members, tuition assistance, and paid time off.
• Paid holidays, including the week between Christmas and New Year's Day, with an option to purchase additional vacation time.
• Employee resource groups and paid time off for individual and team community service.