GDIA Machine Learning Engineer

Join our pioneering team as we redefine the boundaries of technology through the power of Artificial Intelligence (AI) and Machine Learning (ML). In this dynamic role, you'll leverage cutting-edge AI and ML innovations to revolutionize sectors including autonomous vehicles, cybersecurity, customer engagement, and innovative product design. As a vital member of our visionary team, you will not only contribute to developing groundbreaking solutions but also play a crucial role in steering our strategic trajectory across these critical domains and beyond. We are looking for AI specialists ready to generate immediate impact in applications such as LLM-powered chat bots, manufacturing defects monitoring, accelerating Computer Aided Engineering, GenAI-driven vehicle design studios, and more.

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.

The future of smart mobility hinges on the intelligent application of data, metrics, and analytics. As part of our Global Data Insight & Analytics (GDI&A) team, you'll play a pivotal role. We serve as Ford's trusted advisers, providing clear insights into business conditions, customer needs, and the competitive environment. Our work empowers key decision-makers to act decisively and positively. By leveraging your expertise in data and analytics, you can contribute to timely, evidence-based decision-making.

Ford's GDI&A department is on the hunt for talented individuals skilled in Machine Learning, Big Data, Statistics, Econometrics, and Optimization. Our mission is to foster evidence-based decisions by unlocking insights from data. Our projects span various domains, including Connected Vehicle, Smart Mobility, Operations, Manufacturing, Supply Chain, Logistics, and Warranty Analytics.

We're looking for exceptional Machine Learning and AI engineers who are eager to engage in all project stages, from problem identification to model deployment. Ideal candidates are self-motivated, have a strong sense of initiative, and a lifelong passion for learning to navigate the rapidly evolving field of mobility technology. We offer the freedom to conduct original research, select the most suitable methodologies, and tackle world-class machine learning challenges.

This role involves applying AI and ML to innovate in areas such as autonomous vehicles, cybersecurity, customer interaction, and product design. You'll be part of a forward-thinking team dedicated to using AI and ML to create groundbreaking solutions and shape our strategic direction in these fields and beyond.

Analyze source data and data flows, working with structured and unstructured data (text, audio, images, video, etc.)

Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends

Apply AI and Machine Learning technology to solve complex, real-world problems

Analyze and visualize diverse sources of data, interpret results in a business context and report results clearly and concisely

Build robust infrastructure for deploying models to end users at scale

Communicate and present analytical models to business customers and executive management

Work collaboratively with different business partners and be able to present results in a clear and concise manner

Bachelor's degree in computer science, mathematics, statistics, operations research, or related field

Experience with the complete software lifecycle

1+ years of experience with delivering and maintaining production software products

Strong technical writing and oral communication skills

Expertise in one or more core domains involved in machine learning model deployment, including data engineering, model building, MLOps

Experience in productionizing generative AI to solve critical business problems

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, and prescription drug coverage

Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care 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.

For a detailed look at our benefits, click here : Benefit Summary (https : / / corporate.ford.com / content / dam / corporate / us / en-us / documents / careers / 2025-benefits-and-comp-gsr-sal-plan-2.pdf)

This role is remote but if you live within 50 miles within a Ford hub, you will be required to commute in office 4x a week.

• Visa Sponsorship IS provided for this specific role

Relocation assistance IS NOT provided for this specific role

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 committed to a culturally diverse workforce. 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.

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Requisition ID : 53687