Machine Learning Engineer

Ford Motor; Dearborn (MI); Hybrid; USD 74,000 - 145,000; Full time

Benefits offered by this job

Medical coverage

Parental leave

Family benefits

Vehicle discount

Tuition assistance

Employee groups

Paid time off

Holiday leave

Job summary

Ford Motor Company is seeking talented Machine Learning and AI scientists to join the Global Data Insight & Analytics team. You will work across stages from problem formulation to model deployment, applying AI/ML to mobility-related challenges, including autonomous vehicles, cybersecurity, and product design.

The role emphasizes self-motivation, initiative, and lifelong learning with opportunities to conduct original research and select methodologies.

Qualifications

• Master’s degree in Computer Science, Mathematics, Statistics, Operations Research, or related field AND 1+ year Data Science experience
• Bachelor’s Degree in Computer Science, Mathematics, Statistics, Operations Research, or related field AND 2+ years’ Data Science experience
• 1+ years’ experience with delivering and maintaining production software products
• Experience with cloud-based deployments and best practices
• Demonstrated contributions and expertise in one or more AI domains: NLP, CV, Generative AI, or physics-informed NN

Responsibilities

• Analyze source data and data flows (text, images, video, etc.).
• Manipulate high-volume, high-dimensional data to expose patterns and trends.
• Apply AI/ML to solve complex, real-world problems.
• Analyze and visualize data; interpret results for business context.
• Present analytical models to executives and business partners.
• Collaborate with different teams and communicate results clearly.

Skills

Cloud deployments

NLP

Computer Vision

Generative AI

Physics-informed NN

ML research

Problem solving

Education

Master’s Degree in CS/Math/Stats/OR

Bachelor’s Degree in CS/Math/Stats/OR

1+ years delivering production software

Job description

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'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 scientists 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.

Qualifications

Minimum Qualifications:

• Education & Work Experience:
  • Master’s Degree in Computer Science, Mathematics, Statistics, Operations Research, or related field AND 1+ year Data Science experience
    OR
  • Bachelor’s Degree in Computer Science, Mathematics, Statistics, Operations Research, or related field AND 2+ years’ Data Science experience
  • 1+ years’ experience with delivering and maintaining production software products
• Experience with cloud-based deployments and best practices
• Demonstrated contributions and expertise in one or more of the following AI domains:
  • Natural Language Processing (finetuning and distillation of LLMs, evaluation of LLM-powered applications, deploying models at scale)
  • Computer Vision (anomaly detection / few-shot learning, multi-sensor fusion, object detection and tracking, scene segmentation, motion planning and prediction)
  • Generative AI (fine tuning stable diffusion models, multi-modal large language models, generation in the 3D domain)
  • Physics-informed neural networks (ML for computational fluid dynamics or finite element analysis, point cloud or mesh-based neural networks, PDE surrogate modelling)

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
• 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
• Generous vacation time, sick/personal time, and paid holidays, including between Christmas Eve and New Year’s Day

This position is a range of salary grades 6-7 and ranges from $74,300-$144,900.

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.

Internal applicants: moving into this role may result in an adjustment to your current compensation based on the posted pay range for this role, taking into consideration your qualifications and other relevant factors.

For more information on salary and benefits,

Visa sponsorship is not available for this position.

Domestic relocation is 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

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Responsibilities

• 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
• Fulfill problem formulation and ML technique consulting requests in a timely manner
• 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