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Senior Machine Learning Researcher Jobs in Michigan

Canopy

Senior Machine Learning Engineer

Detroit, MI

$95K - $131K/yr

Senior Machine Learning Engineer As a Senior Machine Learning Engineer within the AI Squad at ... reproducible research methodologies. * Collaborate with cross-functional stakeholders including ...

Ascentt

Senior Machine Learning Engineer

Ann Arbor, MI

$102K - $140K/yr

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 ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... Experience with MATLAB for algorithm prototyping and research. * Experience with Docker or ...

Autodesk

Senior Machine Learning Test Engineer

Novi, MI · On-site +1

$103K - $134K/yr

United States East Coast Position Overview As a Senior Machine Learning Test Engineer in the Research Enablement team, you will work side-by-side with researchers, Machine Learning developers and ...

Indeed

Senior Machine Learning Engineer

Detroit, MI

$95K - $131K/yr

Comscore, Total Visits, March 2025) Day to Day As a Senior Machine Learning Engineer on our ... UX designers/researchers * Define and implement evaluation, observability, and production ...

Eccalon LLC

Machine Learning Engineer

Detroit, MI · On-site

The Machine Learning Engineer will be an essential member of the Research and Development Team, where we engineer large tailor-made systems to solve complex data-related problems from many domains.

General Motors

Senior Machine Learning Engineer

Warren, MI · On-site +1

$222K - $227K/yr

Research, design, and develop new machine learning solutions and algorithms for driverless technology company. Explore, prototype, validate, and iterate new algorithms and strategies. Drive efforts ...

General Motors

Senior Machine Learning Engineer

Warren, MI · On-site

$222K - $227K/yr

Research, design, and develop new machine learning solutions and algorithms for driverless technology company. Explore, prototype, validate, and iterate new algorithms and strategies. Drive efforts ...

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $160K/yr

... senior engineers. * Train control models, track and interpret their performance, and dig into why a ... Desired Qualifications * 0-4 years of experience (including internships or research) in machine ...

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Senior Machine Learning Researcher information

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$24.8K

$66.8K

$119.8K

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

As of Jun 18, 2026, the average yearly pay for senior machine learning researcher in Michigan is $66,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,600.00 and $85,900.00 per year, depending on experience, location, and employer.

What opportunities for collaboration typically exist for Senior Machine Learning Researchers within a company?

Senior Machine Learning Researchers frequently collaborate with cross-functional teams, including data engineers, software developers, and domain experts. This collaboration ensures that research insights are effectively translated into scalable solutions and integrated into products or services. Researchers often participate in brainstorming sessions, code reviews, and joint publications, fostering a culture of innovation and shared knowledge. These interactions not only drive the success of projects but also provide valuable learning experiences and networking opportunities.

What does a Senior Machine Learning Researcher do?

A Senior Machine Learning Researcher leads the development and application of advanced machine learning models to solve complex problems. They are responsible for designing experiments, analyzing large datasets, publishing research findings, and collaborating with engineering teams to implement solutions. Additionally, they mentor junior researchers, stay updated with the latest advancements in AI, and often contribute to setting the research agenda for their organization.

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

AspectSenior Machine Learning ResearcherData Scientist
CredentialsAdvanced degrees in CS, ML, or related fieldsDegree in CS, statistics, or related fields; certifications optional
Work EnvironmentResearch labs, R&D teams, academiaBusiness analytics, product teams, startups
Industry UsageResearch-focused roles in tech, academia, R&DData analysis, business insights, product development
Search & Comparison IntentUnderstanding research vs applied roles in MLExploring data analysis careers and skills

While both roles involve working with data and machine learning, a Senior Machine Learning Researcher primarily focuses on developing new algorithms and advancing ML theory in research settings. In contrast, a Data Scientist applies existing models to analyze data, generate insights, and support business decisions. The roles differ mainly in their focus—research innovation versus practical application—though they share overlapping skills and credentials.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Researcher, and why are they important?

To thrive as a Senior Machine Learning Researcher, you need advanced knowledge in machine learning algorithms, statistical analysis, programming (typically in Python), and a relevant advanced degree such as a PhD or Master's in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, as well as familiarity with cloud computing platforms and research publication, is often required. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and present complex ideas clearly. These skills and qualities are essential for driving innovation, developing robust models, and translating research into practical, impactful solutions.
What are the most commonly searched types of Machine Learning Researcher jobs in Michigan? The most popular types of Machine Learning Researcher jobs in Michigan are:
What are popular job titles related to Senior Machine Learning Researcher jobs in Michigan? For Senior Machine Learning Researcher jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Researcher jobs in Michigan look for? The top searched job categories for Senior Machine Learning Researcher jobs in Michigan are:
What cities in Michigan are hiring for Senior Machine Learning Researcher jobs? Cities in Michigan with the most Senior Machine Learning Researcher job openings:
Senior Machine Learning Researcher jobs near you
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Canopy

Detroit, MI

$95K - $131K/yr

Other

Posted 22 days ago

Hilton Grand Vacations rating

6.8

Company rating: 6.8 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

5th of 21 rated holiday rentals

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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