Physics Informed Machine Learning Jobs in Detroit, MI

• Master's degree in Artificial Intelligence, Machine Learning, Engineering, or a Master's in Business Administration (MBA). 

• Hands-on experience with modern AI frameworks, physics-informed neural networks (PINNs), or industrial Digital Twin platforms (e.g., NVIDIA Omniverse, Siemens Tecnomatix, or equivalent). 

• Demonstrated experience bridging the gap between software engineers/data scientists and traditional mechanical/manufacturing engineers. 

• Familiarity with generative design software, automated path planning, or predictive supply chain risk orchestration. 

• Exceptional executive presence with strong presentation, verbal, and written communication skills to influence global, cross-functional stakeholders. 

• Agility and the proven ability to guide teams through highly ambiguous, fast-paced transformational journeys under tight deadlines.

What you'll receive in return...

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 childcare 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 a leadership level 4.
For more information on salary and benefits, click here: 

2026 LL4 Benefits Summary 

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.

#LI-Hybrid #LI-WC2

NOW: Tactical Efficiency & Optimization 

• Identify & Map Bottlenecks: Assess the value stream mapping of existing GPDS processes to pinpoint high-waste physical bottlenecks suitable for immediate AI-enabled optimization. 

• Deploy Immediate-Value AI Tools: Champion and scale the rollout of tactical AI accelerators, including LLM-based coding assistants for software integration and automated program tracking tools (a virtual program manager). 

• Execute Rolling Pilots: Collaborate with active vehicle program teams to implement rolling pilots of generative engineering and advanced simulation tools, delivering immediate efficiency gains to in-flight programs.

NEAR: System Integration & Concurrent Engineering 

• Architect a data lake: Drive the definition and implementation of a data system to connect cross-functional work systems to enable real-time, closed-loop analysis. 

• Scale Predictive Simulations and Digital Twins: Expand the use of advanced predictive simulation models aimed at reducing physical test iterations and accelerate validation loops across key vehicle attributes and development workstreams 

• De-Risk Manufacturing Tooling: Leverage advanced predictive analytics to optimize long-lead manufacturing tooling designs, proactively identifying and correcting physical manufacturing constraints early in the design cycle.

FAR: Deliver the Aspirational Target 

• Establish a Digital-First Development Cycle: Lead the ultimate transition to a highly compressed, digital-first development cycle that significantly reduces time-to-market while improving quality. 

• Foster a Digitally Literate Engineering Culture: Drive a culture of digital literacy and advanced tool adoption across the global engineering community, establishing next-generation benchmarks for the industry that every engineer at Ford is empowered by intelligent, generative design tools.