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Senior Machine Learning Researcher Jobs in Rochester, MI

The ideal candidate will possess a strong background in machine learning, data science, AI ... Evaluate emerging AI technologies, research, tools, and industry trends to recommend innovative ...

The ideal candidate will possess a strong background in machine learning, data science, AI ... Evaluate emerging AI technologies, research, tools, and industry trends to recommend innovative ...

... 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 ...

Emphasizes theoretical foundations and connects advanced statistics to biostatistics, econometrics, and machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Senior Robotics Data Engineer - Only W2

Warren, MI · On-site

$99K - $135K/yr

Senior Robotics Data Engineer Location: Warren, MI (Onsite from Day 1) Job Type: W2 Contract Main ... Required Qualifications: · Minimum 3 years of experience in data engineering, machine learning ...

Showing results 41-60

Senior Machine Learning Researcher information

See Rochester, MI salary details

$26.2K

$70.5K

$126.6K

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

As of Aug 20, 2026, the average yearly pay for senior machine learning researcher in Rochester, MI is $70,513.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $90,700.00 per year, depending on experience, location, and employer.

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 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 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 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 popular job titles related to Senior Machine Learning Researcher jobs in Rochester, MI?

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

$42.25 - $58/hr

Full-time

Re-posted 19 days ago


American Axle & Manufacturing rating

5.6

Company rating: 5.6 out of 10

Based on 51 frontline employees who took The Breakroom Quiz

469th of 491 rated machine equipment manufacturers


Job description

Job Posting Title
Senior Industrial Engineer
Job Description Summary
Shape the Future of Smart Manufacturing
Dauch is seeking a forward-thinking Senior Industrial Engineer to drive operational excellence through process optimization, advanced analytics, and AI-enabled solutions. In this hybrid Detroit-based role, you'll lead initiatives that improve productivity, reduce waste, and support the digital transformation of our manufacturing operations.
Why Join Us?
Join a team that's investing in the future of manufacturing. You'll have the opportunity to apply emerging technologies, influence strategic decisions, and help build smarter, more efficient operations.
Ready to transform manufacturing through AI and innovation? Apply today.
Job Description:
  • Lead process improvement, labor optimization, and productivity initiatives.
  • Develop capacity, headcount, and cycle-time models to support operational decision-making.
  • Apply AI, machine learning, and data analytics to identify opportunities and improve manufacturing performance.
  • Partner with Operations, Engineering, and IT teams to implement Industry 4.0 and smart manufacturing solutions.
  • Manage projects, influence stakeholders, and present recommendations to leadership.
  • All other duties as assigned.

Required Skills and Education
  • Bachelor's degree in Industrial Engineering or related field.
  • 5+ years of industrial engineering experience in manufacturing, preferably automotive.
  • Experience with process improvement and cost-saving initiatives.
  • Strong analytical and project leadership skills.
  • Experience using AI, machine learning, advanced analytics, Power BI, Python, SQL, or related digital technologies is highly preferred.

About Dauch:
Dauch Corporation is a premier Driveline and Metal Forming supplier serving the global automotive industry with a powertrain-agnostic product portfolio that supports electric, hybrid, and internal combustion vehicles. The company is headquartered in Detroit, MI, with operations that span 24 countries and more than 175 locations. Formed through the acquisition of Dowlais Group plc and its subsidiaries - GKN Automotive and GKN Powder Metallurgy, Dauch unites deep engineering roots with global manufacturing capabilities and an entrepreneurial spirit to move mobility forward. Visit www.dauch.com to learn more.
Dauch will not discriminate against any Associate or applicant for employment because of age, race, color, gender, religion, weight, height, marital status, sexual orientation, genetic history or information, gender identity or expression, disability, protected veteran status, national origin, or other characteristic protected by law. Dauch will take affirmative action to ensure that applicants are employed, and that Associates are treated equally during employment, without regard to their age, race, color, gender, religion, weight, height, marital status, sexual orientation, genetic history or information, gender identity or expression, disability, protected veteran status, national origin, or other characteristic protected by law. For the Disabled Job Seeker: We offer reasonable accommodations for qualified disabled individuals who are applicants for employment. To request assistance or accommodations, please e-mail TalentAcquisition@aam.com. Dauch is an equal opportunity/affirmative action employer.

What American Axle & Manufacturing employees say

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About American Axle & Manufacturing

Sourced by ZipRecruiter

American Axle & Manufacturing (AAM), based in Detroit, MI, US, is a globally recognized leader in the automotive industry. Established in 1994, the company has built a strong reputation as a premier manufacturer of driveline and drivetrain systems, and related components for light trucks, SUVs, passenger cars, crossover vehicles, and commercial vehicles. With the mission of “Powering the Future of Mobility”, AAM is dedicated to delivering top-tier power transfer solutions that are efficient, safe, and sustainable. Over the decades, AAM's determination to excel has led to the development of groundbreaking innovations, earning accolades for its advanced PowerDense™ and EcoTrac® solutions.

Industry

Motor vehicle and motor vehicle parts wholesalers

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1917