Machine Learning Engineer

Ford Motor Company

DIA Machine Learning Engineer at Ford Motor Company driving evidence-based decision making. Collaborating on analytics and statistical models for business solutions with data expertise.

Posted 6/9/2026full-timeDearborn • Missouri • 🇺🇸 United StatesJuniorMid-Level💰 $66,102 - $186,624 per yearWebsite

Tech Stack

Tools & technologies

CloudDockerGoogle Cloud PlatformHadoopPythonSQL

About the role

Key responsibilities & impact

Acquire deep understanding of the business problems and translate them into appropriate business solutions
Drive development and delivery of analytic and statistical models using skills such as data acquisition and management, algorithm design, and model development and refinement
Ensure overall quality of the data and solutions throughout the analytic development process
Interpret results and communicate insights to technical and non-technical audiences including executive leadership.

Requirements

What you’ll need

Bachelor’s degree or foreign equivalent in Statistics, Economics, Mathematics, Computer Science, Industrial Engineering, Data Science, Mechanical Engineering or related field
2 years of experience in the job offered or related occupation
2 years of experience with each of the following skills: Coding in multiple languages, including SQL, and using PowerBI for delivering analytics including reporting or machine learning
Data visualization – delivering data to business users using at least one of the following: Qlik, Python, Dash, Looker, or Power BI
1 year of experience with each of the following skills: Coding using Python to automate business processes and data pipelines
Utilizing GCP native technologies, Dataform and Docker, to improve data pipelines
Data engineering – leveraging Google Cloud Platform, Hadoop, or SQL for process re-engineering, and GitHub for code base version control
Process mapping and re-engineering – consulting with the business to identify problem and provide solutions to improve and automate data flows using Dataform, SQL, or GCP.

Benefits

Comp & perks

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.

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Hard Skills & Tools

data acquisitionalgorithm designmodel developmentdata visualizationcoding in SQLcoding in Pythondata engineeringprocess mappingprocess re-engineeringmachine learning

Soft Skills

communicationproblem-solvinganalytical thinkingcollaborationinsight interpretation