Machine Learning Engineer

Stellantis is seeking a Machine Learning Engineer / Data Scientist to help build statistical models and simulations for Vehicle Configuration Optimization (VCO). In this onsite role at the Headquarters & Technology Center in Auburn Hills, you will develop a customer-level preference simulation engine that supports creation of optimized Vehicle Order Guides (VOGs) to improve product configuration decisions.

This salaried position sits within Sales & Marketing and supports work grounded in large-scale simulation, model development in Databricks, and close collaboration with data engineering partners.

Key responsibilities

• Build and run large-scale simulations, including simulations such as 50,000 synthetic customers, to model vehicle purchase behavior
• Develop statistical and machine learning models using Databricks
• Translate model outputs into optimized Vehicle Order Guides (VOGs) that inform product configuration decisions
• Conduct exploratory data analysis and feature engineering on complex datasets
• Collaborate closely with Data Engineering to refine and leverage curated datasets
• Communicate insights and model recommendations to business stakeholders
• Continuously evaluate and improve model accuracy and assumptions

Data sets involved

• Historical vehicle sales
• Competitive sales data
• Feature-level willingness-to-pay data
• Customer preference models

Technology

• Databricks

Role details

• Job ID: 2020000
• Career Area: Sales & Marketing
• Position Type: Salaried
• Location: Headquarters & Technology Center – Auburn Hills, 48326, US (onsite)
• Date Posted: July 22, 2026
• Brand: FCA Group

Equal opportunity statement

Stellantis assesses candidates based on qualifications, merit, and business needs. The company welcomes applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. Stellantis also states that diverse teams reflect its identity as a global company and support the evolving needs of its customers.

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