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Senior Full Stack Machine Learning Engineer Jobs in Michigan

Develop within the full machine learning lifecycle; from problem definition to data pipeline design ... stack. * Mentor and guide junior engineers and contribute to the hiring process and technical ...

Full-Stack Developer

Warren, MI · On-site

$50 - $55/hr

We're looking for a Senior Full-Stack Software Developer who: * Strives for excellence * Embraces innovation * Thrives in a collaborative, cross-functional team environment * Exhibits a strong work ...

Sr. Full Stack Developer #1056314 * We are looking for a Senior full stack Application Developer on our Application Development Team (focus on Core Java, Webservices and Angular skills). * The ideal ...

Sr. Full Stack Java Developer

Okemos, MI · On-site

$47.50 - $61.25/hr

Full Stack Developer Location: Hybrid - Okemos, MI Angular 17 or Angular 19 experience Must We are looking for a Senior Full stack Developer . The ideal candidate should have at least 5 years of ...

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

Develop within the full machine learning lifecycle; from problem definition to data pipeline design ... stack. * Mentor and guide junior engineers and contribute to the hiring process and technical ...

Sr. Full Stack Java Developer

Okemos, MI · On-site

$47.50 - $61.25/hr

Full Stack Developer Location: Hybrid - Okemos, MI Angular 17 or Angular 19 experience Must We are looking for a Senior Full stack Developer . The ideal candidate should have at least 5 years of ...

Senior Machine Learning Engineer Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions ...

Sr Full Stack Java Developer

Okemos, MI · On-site

$47.50 - $61.25/hr

Job Role Sr Full Stack Java Developer Location Hybrid - 3 days per week onsite in Okemos or Farmington office Note (will be 4 days per week starting in Summer of 2026) Address St, Farmington Hills ...

Sr Full Stack Java Developer on W2

Okemos, MI · On-site

$47.75 - $61.75/hr

Role: Sr Full Stack Java Developer on W2 Location - Hybrid (minimum of 3 days a week in our Okemos/Farmington office). Will change to 4 days a week starting on 7/6/2026. Hybrid 3-4 days onsite/week ...

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Senior Full Stack Machine Learning Engineer information

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

AspectSenior Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, integrates backend and frontendAnalyzes data, builds models, visualizes insights
Industry UsageTech, finance, healthcare, where deploying ML models is essentialResearch, analytics, consulting across various sectors

While both roles involve working with data and machine learning, the Senior Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, including frontend and backend integration. In contrast, Data Scientists primarily analyze data and develop models to generate insights. The engineer's role is more application-oriented, whereas the Data Scientist's role is more research and analysis-focused.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Michigan? The most popular types of Full Stack Machine Learning Engineer jobs in Michigan are:
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Canopy

Detroit, MI

$95K - $131K/yr

Other

Posted 21 days ago


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Job description

Senior Machine Learning Engineer

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you'll contribute to the development of cutting-edge AI solutions to combat vehicle and content theft. In this senior role, you'll play a pivotal part in shaping our AI roadmap, mentoring junior engineers, and influencing system architecture decisions. This is a high-impact role with visibility across engineering and product leadership.

Responsibilities:
  • Contribute to the design, development, and deployment of robust machine learning models for production use in real-world security applications.
  • Develop within the full machine learning lifecycle; from problem definition to data pipeline design, model development, validation, deployment, and monitoring.
  • Establish and refine best practices in our ML system architecture, CI/CD pipelines for ML, and reproducible research methodologies.
  • Collaborate with cross-functional stakeholders including product managers, data engineers, and MLOps teams to ensure seamless model integration and delivery.
  • Perform advanced exploratory data analysis on large-scale sensory datasets (image, audio, radar, accelerometer) to derive insights and guide modeling strategies.
  • Stay ahead of industry advancements in machine learning, AI sensing, and signal processing, incorporating the latest innovations into Canopy's technology stack.
  • Mentor and guide junior engineers and contribute to the hiring process and technical reviews.

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