AI/ML Integration Technologist - Battery Mfg

We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.

Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making., 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.

Why Ford Energy?

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. Learn more at https://fordenergy.com.

In this position...

You will stay at the frontier of AI for battery manufacturing. Work up front in process and launch, evaluate and pilot new methods, keep a living internal and external benchmark, and turn it into a pipeline of future ideas the plants can adopt.

You'll have...

• Bachelor's in Engineering (Electrical or Mechanical preferred) or Bachelor's in Science (Computer Science) 
• 10+ years of experience, with several years in applied AI or ML on real production or process systems.
• Depth in manufacturing or process data: multivariate and time-series, SPC, design of experiments, and inline vision.
• Fluent enough in the physics to earn credibility with process and controls engineers, and fluent enough in ML to lead the technical direction.

Even better, you may have...

• Master's in AI, ML, data science, or computer science preferred.
• Battery cell, semiconductor fab, or roll-to-roll coating background; cloud ML (GCP or Azure); familiarity with agentic frameworks (LangGraph, ADK, AutoGen, MCP) for workflow automation.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.
 

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

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.


For more information on salary and benefits, click here: https://fordcareers.co/LL6

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

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

#LI-Hybrid

#LI-MH5 

What you'll do...

• Own the AI roadmap for battery manufacturing: what to pilot, what to scale, what to retire, tied to yield, quality, cost, and launch speed.
   
• Run continuous benchmarking, internal across Ford battery sites and external across cell makers, suppliers, semiconductor, and coatings, and translate it into concrete next steps.
   
• Build proofs of concept and reference architectures for the highest-value use cases: formation and aging optimization, inline coating and defect vision, yield genealogy, and predictive maintenance.
   
• Set the data, labeling, and model standards so work done at one plant is reusable at the next.
   
• Act as the center of excellence for battery manufacturing AI: evaluate vendors, guide the embedded engineers, and align with IT and OT on security and scale.
   
• Where it fits, apply generative and agentic AI (copilots and workflow agents) to engineering and plant workflows.