Machine Learning Engineer

Ford Motor Company

. Analyze source data and data flows using structured and unstructured data, including text, audio, images, and video .

Posted 11/11/2026full-timeDearborn • Michigan • United StatesJuniorMid-Level💰 $74,300 - $144,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in analyzing and visualizing structured and unstructured data, applying AI and Machine Learning techniques to solve complex problems, and effectively communicating results to business stakeholders. Proficient in delivering production software products and engaging in all project stages from problem identification to model deployment.

Highest-signal resume keywords

Data Science ExperienceMachine Learning TechniquesNatural Language ProcessingCloud-Based DeploymentsData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisMachine LearningStatistical AnalysisPattern RecognitionData ManipulationModel DeploymentResearch MethodologiesAnomaly DetectionAI TechnologiesData Interpretation

Soft Skills

CommunicationCollaborationPresentation SkillsProblem Solving

Industry Keywords

Artificial IntelligenceComputer VisionGenerative AIOperations ResearchHigh-Dimensional Data

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Analyze source data and data flows using structured and unstructured data, including text, audio, images, and video
Manipulate high-volume, high-dimensionality data to identify patterns, anomalies, relationships, and trends
Apply AI and Machine Learning technology to solve complex, real-world problems
Analyze and visualize diverse data sources, interpret results in a business context, and report results clearly
Fulfill problem formulation and ML technique consulting requests
Communicate and present analytical models to business customers and executive management
Collaborate with business partners and present results clearly and concisely
Engage in project stages from problem identification through model deployment
Conduct original research, select suitable methodologies, and address machine learning challenges

Requirements

What you’ll need

Master's Degree in Computer Science, Mathematics, Statistics, Operations Research, or related field AND 1+ year Data Science experience, OR Bachelor's Degree in one of these fields AND 2+ years’ Data Science experience
1+ years’ 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
Candidates must be legally authorized to work in the United States
Visa sponsorship is not available

Benefits

Comp & perks

Immediate medical, dental, vision, and prescription drug coverage
Paid parental leave, new parent ramp-up programs, subsidized back-up childcare
Family building benefits including adoption and surrogacy expense reimbursement and 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 vacation time, sick/personal time, and paid holidays, including between Christmas Eve and New Year’s Day
Domestic relocation available