AI Engineer

About Ford

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves.

About the Role

This is an exciting opportunity to be part of a team that will be instrumental in crafting the future of how we do business, with the commercial customer at the center of everything we do.

As the AI Engineer, you will be responsible for the delivery of analytical, machine learning and AI solutions. You will work on challenging projects, collaborate with experienced researchers, and gain practical experience in the application of AI/ML techniques to real-world problems. The successful candidate will be involved in all stages of the machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment.

Responsibilities

• Design, develop, and implement AI/ML models and algorithms to solve complex problems
• Perform data preprocessing, cleaning, and feature engineering to prepare data for model training
• Train, evaluate, and tune various machine learning models
• Develop and maintain robust and efficient code using Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn)
• Document code, experiments, and results clearly and concisely
• Collaborate effectively with other engineers within the team
• Work within an agile development model working closely with a product manager and other engineers

Requirements

• Bachelor's Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT)
• 3+ years of experience of analytical methods and their proper application
• 3+ years of experience using AI/ML, data science software (e.g., Python-based tools)
• MUST HAVE experience using Gen AI technologies
• Experience using Cloud Platforms and AI Platforms

Preferred Requirements

• Working knowledge of GCP
• Expertise in open-source data science technologies such as Python, R, Spark, SQL
• Conceptual understanding of data pipelines and MLOps

Compensation and Benefits

Salary: Grade 7-8, ranging from $99,600–$192,900. 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.

Benefits:

• 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
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments
• 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 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

Work Arrangement

This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.

Additional Information

• Visa sponsorship 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