Auburn Hills, MI

Engineer Jobs in Auburn Hills, MI

13 jobs found

Include remote jobs

23d ago

Data Scientist / Machine Learning Engineer

CorTech Auburn Hills, MI

Auburn Hills, MI

23d ago

Full time Artificial Intelligence Automation Cloud

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Job Description

CorTech is seeking a Data Scientist / Machine Learning Engineer to build and deploy AI and deep learning solutions for the automotive industry. This onsite role in Auburn Hills, MI focuses on initiatives such as computer vision, predictive maintenance, anomaly detection, and generative AI, with work conducted alongside cross-functional teams.

Role Focus

The position centers on designing and implementing machine learning solutions that address complex automotive challenges. The work includes both developing new AI capabilities and improving the performance and scalability of existing models for efficient computation.

Key Responsibilities

Design, develop, and deploy AI models, including computer vision and generative AI, to solve complex automotive problems.
Partner with cross-functional teams to understand business challenges and identify opportunities for applying machine learning technologies.
Use generative AI models to support innovation in design, R&D, and manufacturing processes.
Optimize existing ML models for performance and scalability using CUDA advanced GPU architectures and parallel computing frameworks.
Design and implement machine learning pipelines for data preprocessing, model training, and evaluation using performance metrics.
Implement machine learning solutions in Python using PyTorch and TensorFlow.
Apply statistical techniques and machine learning algorithms to address complex problems in the automotive sector.
Track and apply advancements in data science, machine learning, deep learning, and AI to support ongoing innovation within the company.
Develop and maintain documentation covering data analysis methods, model development, and deployment processes to support reproducibility and compliance with industry standards.

Required Qualifications

PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Proven experience in machine learning, deep learning, and AI.
Strong understanding of Python, CUDA, and GPU architectures for parallel computing and model optimization.
Strong knowledge of machine learning architectures and techniques, with a focus on computer vision and generative AI.
Proficiency with deep learning frameworks including PyTorch and TensorFlow.
Experience with parallel computing and optimization for high-performance computing environments.
Ability to collaborate in a team setting and communicate complex concepts clearly to non-technical stakeholders.
Innovative approach and motivation for tackling challenging problems and pushing technological boundaries.
Solid analytical skills to interpret complex data and convert insights into strategic and practical solutions.
Minimum of 5 years’ experience in a machine learning engineering role, preferably in automotive or a related sector.
Demonstrated experience developing and deploying machine learning models for real-world applications.
Self-motivated approach with a focus on continuous learning and professional development.
Experience with Agile and a cloud provider such as Azure is a plus.

Technologies

Python
CUDA
PyTorch
TensorFlow
CUDA advanced GPU architectures
Parallel computing frameworks
Agile
Azure

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1mo ago

Machine Learning Engineer

Stellantis Auburn Hills, MI

Auburn Hills, MI

1mo ago Closed

Full time Big Data Data Analysis Data Analytics

This position is no longer accepting applications (closed Sep 9, 2026).

Job Description

This Machine Learning Engineer / Data Scientist position at Stellantis focuses on building statistical models and simulations to support Vehicle Configuration Optimization (VCO). The work uses a customer-level preference simulation engine to produce optimized Vehicle Order Guides (VOGs) for future model years.

Key Responsibilities

Develop and run large-scale simulations (for example, 50,000 synthetic customers) to model vehicle purchase behavior.
Create statistical and machine learning models using Databricks.
Use curated datasets that may include:
- Historical vehicle sales
- Competitive sales data
- Feature-level willingness-to-pay data
- Customer preference models
Translate model outputs into optimized Vehicle Order Guides (VOGs) to inform product configuration decisions.
Conduct exploratory data analysis and perform feature engineering on complex datasets.
Work closely with Data Engineering to refine and leverage curated datasets.
Communicate insights and model recommendations to business stakeholders.
Continuously evaluate model accuracy and assumptions, and implement improvements over time.

Required Qualifications

Bachelor’s Degree (required).
Minimum 5 years of experience in data science, machine learning, or applied statistics.
Strong experience with Databricks (critical requirement).
Proficiency in Python, including Pandas, NumPy, scikit-learn, and PySpark.
Strong SQL skills.
Solid background in statistical modeling, simulation techniques, and experimental design.
Experience translating analytical results into business decisions.

Technologies

Databricks
Python
Pandas, NumPy
scikit-learn
PySpark
SQL
Spark

Preferred Qualifications

Experience with choice modeling, conjoint analysis, or demand modeling.
Background in automotive, pricing, or product optimization analytics.
Experience working with large-scale simulation frameworks.
Familiarity with Spark and distributed computing.
Exposure to MLOps or model productionization.

Location and Work Model

Auburn Hills, MI (onsite)

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1mo ago

Machine Learning Engineer

Stellantis Auburn Hills, MI

Auburn Hills, MI

1mo ago Closed

Full time Artificial Intelligence Big Data Data Analysis

This position is no longer accepting applications (closed Sep 6, 2026).

Job Description

Stellantis is seeking a Machine Learning Engineer / Data Scientist to build statistical models and simulations that drive Vehicle Configuration Optimization (VCO) and customer-level preference simulations for optimized Vehicle Order Guides (VOGs).

Responsibilities

Build and execute large-scale simulations (for example, 50,000 synthetic customers) to model vehicle purchase behavior
Develop statistical and machine learning models using Databricks
Convert model outputs into optimized Vehicle Order Guides (VOGs) that support product configuration decisions
Conduct exploratory data analysis and feature engineering on complex datasets
Partner closely with Data Engineering to refine and leverage curated datasets
Share insights and model recommendations with business stakeholders
Continuously evaluate and improve model accuracy and underlying assumptions

Requirements

Experience developing statistical and machine learning models with Databricks
Ability to perform exploratory data analysis and feature engineering on complex datasets
Experience building and running large-scale simulations for customer behavior modeling (e.g., synthetic customer simulations)
Experience collaborating with Data Engineering to use and improve curated datasets
Capability to communicate insights and recommendations to business stakeholders

Data & Modeling Focus

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

Job Details

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

Equal Opportunity / Accessibility

Assess candidates based on qualifications, merit, and business needs
Welcomes applications from all people regardless of sex, age, ethnicity, nationality, religion, sexual orientation, disability, or other protected characteristics
Believes diverse teams reflect its global identity and help address customer needs and future care
Benefits vary by country, norms, and legal entity
Privacy Statement provided by the respective entity whose job offer you selected

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1mo ago

Desing Release Engineer- Air Intake Systems

G-TECH Services, Inc. Auburn Hills, MI

Auburn Hills, MI

1mo ago Closed

$40 - $44/hr Full time Design Design Engineering Engineering

This position is no longer accepting applications (closed Sep 1, 2026).

Job Description

Onsite in Auburn Hills, MI, this Design Release Engineer focuses on air intake systems, guiding development, packaging, design verification, validation, and documentation. The role coordinates CAD/CAE activities, prototyping, and testing, with travel up to 20%.

Location

Auburn Hills, MI (onsite)

Salary

USD 40 - 44 per hour

Education

Bachelor of Science Degree in Mechanical Engineering or Electrical Engineering or equivalent

Responsibilities

Manage a portfolio of air intake systems at various stages of development.
Lead early packaging, component design, and execution to satisfy air intake, engine, and vehicle level functional objectives.
Coordinate CAD design and CAE activities, supervise prototyping and physical testing, and document these efforts.

Requirements

Bachelor of Science Degree in Mechanical Engineering or Electrical Engineering or equivalent
Excellent written and verbal communication skills
Ability to lead and manage suppliers
Ability to manage multiple concurrent activities
Valid driver’s license with a clean driving record; able to drive a company or rental car

Technologies

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1mo ago

Process Engineer

4D Systems Auburn Hills, MI

Auburn Hills, MI

1mo ago Closed

$50 - $52/hr Contract Automation Design Engineering Engineering

This position is no longer accepting applications (closed Aug 30, 2026).

Job Description

4D Systems is seeking a Process Engineer to join its Auburn Hills, Michigan operations. The role centers on designing and delivering process-driven sealant and adhesive application solutions for FANUC America customers, with a focus on process analyses, feasibility studies, and support for quotations and system launches. The position combines hands-on automation work with customer-facing responsibilities, all performed onsite.

Location

Auburn Hills, MI 48326 (onsite)

Compensation

USD 50 - 52 per hour

Job Type

Contract

Responsibilities

Conduct process evaluations, feasibility studies, and proposal support prior to quotation releases
Design and implement processes using robotics across a broad range of applicator products
Lead process execution after order receipt
Perform customer demonstrations and develop clear analyses and presentation materials based on demonstration results
Serve as the primary customer contact during system launches
Maintain reliable and consistent attendance

Requirements

Strong process knowledge to ensure feasible, workable solutions
Solid problem-solving abilities with the capacity to identify root causes and propose alternatives
Organized, capable of juggling multiple tasks simultaneously
Excellent interpersonal skills with a focus on customer satisfaction
Exceptional oral and written communication skills
Bachelor’s degree in Electrical, Mechanical or related technical engineering discipline, or equivalent relevant experience
Minimum two years of experience with sealant and adhesive application equipment
Experience with pumping and fluid delivery/control equipment
Ability to stand and walk extensively during execution activities
Proper use of hand tools
Good visual acuity, hearing, and speech
Exposure to PVC sealers and two-component adhesives
Willingness to work occasional overtime to meet deadlines
Up to 80% travel is required
Driver's license required
Work location: Auburn Hills, MI 48326
In-person work

Education

Bachelor's degree in Electrical or Mechanical engineering or a related technical discipline, or equivalent relevant experience

Experience

Sealant and Adhesive Application & equipment: 2 years (Required)
Pumping and fluid delivery/control equipment: 1 year (Preferred)

Licenses / Certifications

Driver's License (Required)

Travel and Work Arrangement

Up to 80% travel required
Work location: In person

Environment and Scheduling

Exposure to PVC sealers and 2 component adhesives
Occasional overtime may be required to meet customer deadlines

Benefits

401(k)
Dental insurance
Employee discount
Health insurance
Health savings account
Life insurance
Paid time off
Vision insurance

Other Functions

Actively participate in new and current Paintshop Automation Division product development
Provide technical expertise during sales appointments with customers
Deliver continuous improvement feedback to the process engineering group

Application Question

Do you require work sponsorship (for example H1B) within the next five years?

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1mo ago

Senior Data Engineer

Stellantis Auburn Hills, MI

Auburn Hills, MI

1mo ago Closed

Full time Senior Big Data Bigdata

This position is no longer accepting applications (closed Aug 23, 2026).

Job Description

Senior Data Engineer role at Stellantis in the Supply Chain AI Hub, onsite in Auburn Hills, MI, focused on building reliable data foundations, pipelines, and governance to scale AI delivery and industrialize data engineering practices.

Responsibilities

Design and enhance data models, transformation logic, and pipeline components to enable AI and analytics use cases, including governance where applicable.
Foster maintainable architectures, reusable components, and transparent data lineage across transformations when relevant.
Provide practical data engineering discipline to delivery teams, moving beyond ad hoc builds.
Define source-to-platform pathways, integration dependencies, and technical constraints that influence delivery.
Maintain visibility into traceability, handoffs, and access controls across the Supply Chain.
Collaborate with ICT and engineering stakeholders to keep build approaches practical and scalable.
Contribute to quality checks, certification routines, governance expectations, and compliance-related traceability as scope allows.
Identify structural data issues, documentation gaps, or control weaknesses that affect deployment readiness.
Support a trusted delivery environment by increasing the visibility, understandability, and supportability of data assets.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, or a related field
Eight years of experience in data engineering or data platforms
Experience in the supply chain domain
Hands-on experience with modern data platforms such as Databricks, Apache Spark, Snowflake, or equivalent
Experience with data pipelines, data integration, semantics, lineage, architecture, and platform environments
Experience delivering data transformations at enterprise scale
Strong collaboration skills with analytics, AI, and software engineering teams

Technologies

Databricks
Spark
Snowflake
SQL

Your Profile

Proven data engineering background in modern enterprise settings, with depth in data modelling, pipelines, integration, quality, lineage, or governance topics
Ability to balance business needs, technical constraints, and delivery realities
Strong SQL skills and practical understanding of data structures, transformations, traceability, and controlled delivery environments
Comfortable working with multiple stakeholders across architecture, data, engineering, and governance
Structured, pragmatic, and capable of owning a defined subset of a broader senior data engineering scope

Skills You’ll Grow

Broader exposure to the building blocks that make AI-ready data operate at scale
Experience at the intersection of data engineering, integration, quality, and delivery governance
Opportunity to deepen expertise in a specific component while contributing to a wider AI data foundation agenda

Why Join / Impact

Work on data engineering challenges tied directly to real AI deployment in Supply Chain
Role offers variety with focused ownership within a defined perimeter
Help strengthen the data foundations that enable scalable AI delivery

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1mo ago

Product Design & Engineering - Design Supervisor

Stellantis Auburn Hills, MI

Auburn Hills, MI

1mo ago Closed

Full time Design Design Lead Design Management

This position is no longer accepting applications (closed Aug 23, 2026).

Job Description

Responsibilities

Lead, coordinate, and supervise multiple concurrent design activities across several vehicle programs while managing a team of SBU Designers.
Ensure the timely delivery of high-quality engineering solutions that support program objectives, technical requirements, regulatory compliance, and corporate release milestones.
Foster innovation and the adoption of emerging technologies to enhance product quality, engineering efficiency, and overall design execution.