Machine Learning Engineer

Ford - Dearborn, MI

Full-time - Entry Level

Onsite - Dearborn, MI

Transportation Equipment Manufacturing

About the position

The Machine Learning Engineer at Ford Motor Company will play a crucial role in the Global Data Insight & Analytics (GDI&A) team, focusing on the intelligent application of data, metrics, and analytics to drive evidence-based decision-making. This position involves engaging in all stages of machine learning projects, from problem identification to model deployment, and applying AI and ML technologies to innovate in various domains such as autonomous vehicles and customer interaction. The ideal candidate will be self-motivated, possess a strong initiative, and have a passion for learning in the rapidly evolving field of mobility technology.

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

Requirements

• 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

Nice-to-haves

• Doctorate in computer science, mathematics, statistics, operations research, or related field AND 1+ year(s) data-science experience
• OR Master's degree in computer science, mathematics, statistics, operations research, or related field AND 3+ year(s) data-science
• OR bachelor's degree in computer science, mathematics, statistics, operations research, or related field AND 5+ year(s) data-science experience
• Experience with cloud-based deployments and best practices
• Demonstrated contributions and expertise in one or more of the following AI domains: Natural Language Processing, Computer Vision, Generative AI, Physics-informed neural networks

Benefits

• 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