Machine Learning Engineer
About The Position
Ford Motor Company’s Global Data Insight & Analytics (GDI&A) team uses data, metrics, analytics, and research to support evidence-based decisions. Its projects span Connected Vehicle, Smart Mobility, Operations, Manufacturing, Supply Chain, Logistics, and Warranty Analytics. This role applies machine learning and AI to mobility challenges, including autonomous vehicles, cybersecurity, customer interaction, and product design. The engineer may participate in all project stages, from identifying problems through deploying models, and may conduct original research and select appropriate methodologies. The role analyzes structured and unstructured data and turns findings into solutions and insights that can be communicated to business partners and executives. The position is hybrid, with a requirement to work onsite four or more days per week. Domestic relocation is available; visa sponsorship is not available.
Requirements
- Master’s degree in Computer Science, Mathematics, Statistics, Operations Research, or a related field and at least 1 year of data science experience; or a bachelor’s degree in one of these fields or a related field and at least 2 years of data science experience.
- At least 1 year of experience delivering and maintaining production software products.
- Experience with cloud-based deployments and best practices.
- Demonstrated contributions and expertise in one or more AI domains: Natural Language Processing, Computer Vision, Generative AI, or physics-informed neural networks.
Responsibilities
- Analyze source data and data flows, including structured and unstructured text, audio, image, and video data.
- Manipulate high-volume, high-dimensional data from varied sources to identify and highlight patterns, anomalies, relationships, and trends.
- Apply AI and machine learning technologies to solve complex, real-world problems.
- Analyze and visualize diverse data sources, interpret results in a business context, and report findings clearly and concisely.
- Respond to requests for problem formulation and machine learning technique consulting in a timely manner.
- Communicate and present analytical models to business customers and executive management.
- Collaborate with business partners and present results clearly and concisely.
Benefits
- Immediate medical, dental, vision, and prescription drug coverage.
- Paid parental leave and new parent ramp-up programs.
- Subsidized backup childcare.
- Adoption and surrogacy expense reimbursement and fertility treatments.
- Vehicle discount program for employees and family members, and management leases.
- Tuition assistance.
- Employee resource groups.
- Paid time off for individual and team community service.
- Vacation time, sick/personal time, and paid holidays, including time between Christmas Eve and New Year’s Day.
- Domestic relocation is available.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
