AI/ML Integration Technologist (Battery Mfg)
Full time · Posted 23D AGO
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...
Drive continuous improvement in yield, scrap, quality, and throughput, and find the next opportunities the central technologist can turn into standards.
You'll have...
- 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.
Even better, you may have...
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...
- 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.
Similar roles
Integration Engineer 4Capital One
Workday Integration SpecialistAvalara · Remote
Global Software Support Engineer IIApplied Materials · Phoenix
Forward Deployed Software Engineer-Palantir Foundry-ManagerStrategy& · San Francisco · New York · Seattle · Los Angeles · Boston · Austin · Chicago · Denver · Atlanta · Miami · Dallas · San Diego · Philadelphia · Salt Lake City · Phoenix · Raleigh · Charlotte · Nashville · Minneapolis · Detroit · Pittsburgh · Columbus · Houston · Tampa · Sacramento · Irvine
Senior Platform EngineerMotorola
Product Development Engineer (East Tamaki, NZ, 2013)Fisher & Paykel Healthcare