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Senior Machine Learning Engineer Jobs in Davison, MI

Stellantis

Principal AI Engineer

Auburn Hills, MI

Bachelor's degree in AI, Machine Learning, Computer Science, Statistics, or a related field * A minimum of 8 years of professional experience in software engineering, AI, or machine learning ...

Stellantis

AI Validation Engineer

Auburn Hills, MI · On-site

We are seeking a Senior AI Validation Engineer to design and implement testing strategies ... Bachelor's degree in computer science, Machine Learning, Data Science, Electrical Engineering, or a ...

Stellantis

AI Validation Engineer

Auburn Hills, MI

We are seeking a Senior AI Validation Engineer to design and implement testing strategies ... Bachelor's degree in computer science, Machine Learning, Data Science, Electrical Engineering, or a ...

Stellantis

IT Tools Engineer

Auburn Hills, MI · On-site

Utilize data analysis and object-oriented programming to create user interfaces, dashboards, and advanced analytical models, while leveraging technologies like Machine Learning and AI to enhance data ...

Connect-Force

Sr. Controls Engineer

West Bloomfield, MI · On-site

$115 - $125/hr

Sr. Controls Engineer Location: Farmington Hills, MI Employment Type: Full-Time Industry ... Precision Machinery / Industrial Automation / Machine Tools Travel: Occasional travel may be ...

New

Connect Force

Sr. Controls Engineer

West Bloomfield, MI · On-site

$125K - $135K/yr

Sr. Controls Engineer Location: Farmington Hills, MI Employment Type: Full-Time Industry ... Precision Machinery / Industrial Automation / Machine Tools Travel: Occasional travel may be ...

Makino,-Inc

Application Engineer 2

Auburn Hills, MI · On-site

$95 - $135/hr

At Makino, we're looking for a Senior Applications Engineer who enjoys solving complex technical ... Troubleshooting machine and application issues alongside Field Service Engineers * Supporting ...

New

Makino

Sr. Application Engineer

Auburn Hills, MI · On-site

In this role, you'll partner with customers and internal teams to deliver high-quality machining ... Tuition assistance and continuous learning opportunities * Career development and advancement ...

Makino

Application Engineer 2

Auburn Hills, MI · On-site

At Makino, we're looking for a Senior Applications Engineer who enjoys solving complex technical ... In this role, you'll partner with customers and internal teams to deliver high-quality machining ...

Maddisoft

AI Specialist

Rochester, MI · On-site

... Machine Learning Studio, Databricks). Strong knowledge of SQL, NoSQL databases, and data engineering concepts. Experience working with data visualization tools such as Tableau or Power BI. Strong ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Davison, MI

Senior Machine Learning Engineer information

See Davison, MI salary details

$53.9K

$114.6K

$166.2K

How much do senior machine learning engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for senior machine learning engineer in Davison, MI is $114,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $130,000.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Davison, MI?

The most popular types of Machine Learning Engineer jobs in Davison, MI are:

What are popular job titles related to Senior Machine Learning Engineer jobs in Davison, MI?

For Senior Machine Learning Engineer jobs in Davison, MI, the most frequently searched job titles are:

What cities near Davison, MI are hiring for Senior Machine Learning Engineer jobs?

Cities near Davison, MI with the most Senior Machine Learning Engineer job openings:

Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Davison, MI as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $114,638 per year, or $55.1 per hour.

Principal AI Engineer

Stellantis

Auburn Hills, MI

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

15th of 45 rated automakers

Job description

We are seeking a Principal AI Engineer with deep, hands‑on experience in Large Language Models (LLMs) to lead the design, development, and deployment of enterprise‑grade AI‑powered automation systems across the organization.

This role goes beyond experimentation. You will own and deliver production‑scale AI solutions, analyze complex internal workflows, identify high‑value automation opportunities, and architect intelligent systems that materially improve efficiency, accuracy, and scalability.

This position is ideal for a seasoned engineer (10+ years) who combines strong technical depth, architectural judgment, and a product mindset, and who enjoys building practical, high‑impact AI systems used at scale.

KEY RESPONSIBILITIES:
  • Lead the design, development, and deployment of LLM‑based automation solutions across multiple business functions.
  • Work closely with cross‑functional teams to define problem statements, data requirements, system boundaries, and solution approaches.
  • Architect and implement end‑to‑end LLM systems, including:
    • Prompt pipelines
    • Agent‑based architectures
    • Retrieval‑Augmented Generation (RAG) systems
    • Internal AI services and APIs
  • Integrate commercial and open‑source LLMs (e.g., OpenAI, Anthropic, Databricks, open‑source models) into enterprise systems and products.
  • Drive model evaluation, prompt optimization, and system reliability improvements based on real‑world usage.
  • Establish and maintain monitoring, logging, and evaluation frameworks for LLM‑driven applications.
  • Partner with product, operations, security, and engineering teams to map workflows and identify high‑ROI automation opportunities.
  • Ensure all AI solutions meet enterprise standards for data privacy, security, compliance, and governance.
  • Act as a technical mentor and thought leader, setting best practices for LLM engineering and applied AI.
  • Stay current with advances in LLMs, agent frameworks, AI infrastructure, and applied research—and translate them into pragmatic solutions.

Basic Qualifications:

  • Bachelor’s degree in AI, Machine Learning, Computer Science, Statistics, or a related field
  • A minimum of 8 years of professional experience in software engineering, AI, or machine learning, including a minimum of 3 years of significant hands‑on work on LLM‑based systems.
  • Proven, production experience with Large Language Models, including:
    • Prompt engineering and prompt optimization
    • Model integration and orchestration
    • Evaluation and reliability tuning
  • Strong proficiency in Python and modern AI/ML frameworks and libraries (e.g., PyTorch, TensorFlow, LangChain, similar ecosystems).
  • Solid background in deep learning and applied machine learning.
  • Strong analytical and mathematical foundation relevant to ML systems.
  • Experience designing systems that balance performance, scalability, cost, and accuracy.
  • Ability to communicate complex technical concepts clearly to technical and non‑technical stakeholders.
  • Strong written and spoken English.
Preferred Qualifications:
  • Master’s degree in AI, Machine Learning, Computer Science, Statistics, or a related field (or equivalent professional experience).
  • PhD or additional advanced degree in AI, Machine Learning, Computer Science, Statistics, or related fields.
  • Experience building meaningful visualizations and explaining model behavior and results.
  • Background in data mining, analytics, or decision‑support systems.
  • Experience with regression, supervised and unsupervised learning, and applied ML in production contexts.
  • Prior experience with automotive, IoT, or large‑scale industrial data.
  • Contributions to open‑source projects or published technical work.
  • Experience operating AI systems under enterprise governance, security, and compliance constraints.

Our Benefits — Designed with You in Mind

Comprehensive Health & Well-being Coverage
From your very first day, you’ll have access to medical, dental, vision, and prescription drug coverage — ensuring you and your family stay healthy and protected.

Generous Paid Time Off
We believe in work-life balance. That’s why we offer: 17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.

Competitive Retirement Savings Plans
We help you plan for the future with:

  • An employer match on contributions to your 401k, Roth, and Catch-Up plans
  • An employer contribution, even if you don’t contribute

Income Protection & Insurance Options
Benefit from included and optional disability, life, and other insurance programs — because your peace of mind matters.

Company Vehicle Lease Program
Eligible employees and their immediate families can enjoy company vehicle lease options with included insurance, maintenance, and unlimited mileage. Plus, take advantage of exclusive discounts on Stellantis products.

Family Building Benefit
We proudly support all paths to parenthood- including fertility and infertility treatments, adoption services, and gestational surrogacy.

Support for Your Growth and Giving Back
We believe in investing in your future and your passions:

  • Tuition reimbursement
  • Student loan refinancing programs
  • 18 paid volunteer hours each year to make a difference in your community

And so much more!
When you join us, you’re not just building a career — you’re joining a company that supports you, inside and outside of work.

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