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Method Validation Jobs in Michigan (NOW HIRING)

You will build the tools, datasets, and evaluation methodologies that enable confident delivery of AI-driven automotive solutions. Key Responsibilities: * Design and implement validation frameworks ...

Formulate clear validation methods and technical requirements; leverage engineering calculations and simulations to establish baseline test parameters. * Standardize Testing Procedures: Define highly ...

Formulate clear validation methods and technical requirements; leverage engineering calculations and simulations to establish baseline test parameters. * Standardize Testing Procedures: Define highly ...

Collaborate with the Methods & Tools team to develop and optimize test environments and validation processes. * Oversee test script development using National Instruments LabVIEW and TestStand.

Collaborate with the Methods & Tools team to develop and optimize test environments and validation processes. * Oversee test script development using National Instruments LabVIEW and TestStand.

Ideate and establish new test methodologies, procedures, and equipment. * Communicate with internal ... in validation practices. * Other duties as assigned. HOW YOU'LL DO IT * Attention to detail ...

Collaborate with the Methods & Tools team to develop and optimize test environments and validation processes. * Oversee test script development using National Instruments LabVIEW and TestStand.

Showing results 21-40

Method Validation information

What is a method validation?

A Method Validation job involves assessing and verifying analytical methods to ensure they produce reliable, accurate, and reproducible results. Professionals in this role typically work in pharmaceutical, biotechnology, or chemical industries, following regulatory guidelines such as ICH, USP, or FDA requirements. Their responsibilities include designing validation protocols, performing experiments, analyzing data, and documenting results. Method validation ensures compliance with industry standards and guarantees product quality and safety.

What does a method validation do?

As a Method Validation professional, you will design, conduct, and document experiments to confirm that laboratory methods produce accurate and reproducible results under specified conditions. Typical daily tasks include preparing protocols, running validation samples, analyzing data, and preparing comprehensive validation reports for internal or regulatory review. You’ll work closely with scientists, quality assurance teams, and regulatory specialists to ensure compliance with industry standards. This collaborative environment provides opportunities to contribute to critical product development stages and to build expertise that supports career progression into quality management, regulatory affairs, or advanced analytical roles.

What are the key skills and qualifications needed for method validation?

To excel in Method Validation, a strong background in analytical chemistry, laboratory techniques, and scientific data analysis is typically required, often supported by a degree in chemistry, biochemistry, or a related field. Familiarity with validation protocols, industry regulations (such as GLP, GMP, or ISO standards), and analytical instrumentation (e.g., HPLC, GC, MS) is essential. Strong attention to detail, problem-solving skills, and effective collaboration and documentation abilities help professionals thrive in this position. These skills are vital to ensure that laboratory methods are reliable, regulatory-compliant, and suitable for their intended purposes.

What are the most commonly searched types of Method Validation jobs in Michigan?

The most popular types of Method Validation jobs in Michigan are:

What are popular job titles related to Method Validation jobs in Michigan?

For Method Validation jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Method Validation jobs in Michigan look for?

The top searched job categories for Method Validation jobs in Michigan are:

Infographic showing various Method Validation job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 5% Part Time, 2% Temporary, and 7% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

AI Validation Engineer

Stellantis

Auburn Hills, MI

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

13th of 44 rated automakers


Job description

As AI-powered features become central to automotive vehicles — from ADAS perception and voice assistants to predictive diagnostics and intelligent infotainment — rigorous validation of these systems is critical for successful deployment. We are seeking a Senior AI Validation Engineer to design and implement testing strategies, frameworks, and automated pipelines that ensure the quality, safety, and reliability of deep learning and LLM-based features across vehicle platforms.

This role sits at the intersection of AI/ML engineering and automotive system validation. You will build the tools, datasets, and evaluation methodologies that enable confident delivery of AI-driven automotive solutions.

Key Responsibilities:

  • Design and implement validation frameworks for deep learning models (perception, NLP, generative AI) deployed in automotive systems, covering accuracy, robustness, latency, and safety metrics.
  • Develop automated test pipelines for LLM-based features, including hallucination detection, response quality evaluation, prompt regression testing, and adversarial input testing.
  • Build and curate evaluation datasets and benchmarks tailored to automotive AI use cases (e.g., voice commands, diagnostic Q&A, sensor fusion outputs).
  • Create AI-assisted test generation tools that leverage LLMs to automatically produce test cases, test data, and expected-result specifications from system requirements.
  • Develop model monitoring and drift detection systems for AI features running in production and test environments.
  • Collaborate with system architects to integrate AI model validation into existing test bench infrastructure and CI/CD pipelines.
  • Implement automated regression testing for ML model updates, ensuring backward compatibility and performance parity across software releases.
  • Analyze test results using statistical methods and ML techniques to identify root causes, failure patterns, and quality trends.
  • Work in cross-functional Agile teams spanning AI/ML, embedded software, and system integration disciplines.

Basic Qualifications:

  • Bachelor’s degree in computer science, Machine Learning, Data Science, Electrical Engineering, or a related field.
  • Minimum of 5 years of experience in ML/AI development, with a minimum of 2 years focused on model evaluation, testing, or validation.
  • Strong proficiency in Python and testing/automation frameworks (pytest, Robot Framework, or equivalent).
  • Hands-on experience evaluating deep learning models — including metrics design, dataset curation, bias/fairness analysis, and regression testing.
  • Experience with LLM evaluation techniques (BLEU, ROUGE, human-in-the-loop evaluation, LLM-as-judge approaches).
  • Familiarity with ML experiment tracking and pipeline orchestration tools (MLflow, Weights & Biases, Kubeflow, or equivalent).
  • Experience with CI/CD systems (Jenkins, GitLab CI, GitHub Actions) for automated test execution.
  • Strong analytical and communication skills with the ability to translate AI validation results into actionable insights for engineering teams.

Preferred Qualifications:

  • Master's in Computer Science, Machine Learning, or a related field.
  • Experience with simulation-based testing or digital twin environments.
  • Familiarity with automotive test toolchains (dSpace, Vector CANoe, NI VeriStand) is a plus but not required.
  • Ability to collaborate effectively across time zones with global engineering teams.
  • Knowledge of automotive safety standards (ISO 26262, SOTIF/ISO 21448) as applied to AI systems.
  • Experience with adversarial robustness testing, out-of-distribution detection, or uncertainty quantification for neural networks.

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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