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Director Machine Learning Jobs in Michigan (NOW HIRING)

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 of AI Engineering, you'll contribute to the development of cutting-edge AI solutions to combat ...

Whisker

Director of Software Engineering

Auburn Hills, MI · On-site

$239K/yr

Beyond traditional machine learning algorithms, the Director recognizes opportunities where deep learning is applicable and scales the team to address those opportunities * Recruits, grows, mentors ...

Whisker

Director of Software Engineering

Auburn Hills, MI · On-site

$239K/yr

Beyond traditional machine learning algorithms, the Director recognizes opportunities where deep learning is applicable and scales the team to address those opportunities * Recruits, grows, mentors ...

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Director Machine Learning information

See Michigan salary details

$31.4K

$80.1K

$122.9K

How much do director machine learning jobs pay per year?

As of Jul 9, 2026, the average yearly pay for director machine learning in Michigan is $80,128.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $92,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Director Machine Learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

What is a Director Machine Learning job?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a Director of Machine Learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the most commonly searched types of Machine Learning jobs in Michigan? The most popular types of Machine Learning jobs in Michigan are:
What are popular job titles related to Director Machine Learning jobs in Michigan? For Director Machine Learning jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Director Machine Learning jobs in Michigan look for? The top searched job categories for Director Machine Learning jobs in Michigan are:
What cities in Michigan are hiring for Director Machine Learning jobs? Cities in Michigan with the most Director Machine Learning job openings:
Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $80,128 per year, or $38.5 per hour.
Director, Predictive Modeling and Machine Learning

Director, Predictive Modeling and Machine Learning

Credit Acceptance

Southfield, MI • On-site

$250K - $292K/yr

Other

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.

Credit Acceptance rating

9.3

Company rating: 9.3 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

Job description

Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we've grown into a leading provider of used and new car financing across the country.

Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture!

The Director is a strategic, senior-level individual contributor who defines and drives the modeling strategy across credit risk, servicing, and collections. This role combines deep technical expertise with business acumen and cross-functional influence. While not initially a people manager, the Director may lead initiatives and mentor others, with potential to transition into formal leadership.Outcomes and Activities
  • Define and execute the strategic roadmap for predictive modeling and machine learning
  • Lead cross-functional initiatives integrating analytics into business processes
  • Oversee development, deployment, and monitoring of high-impact models
  • Serve as a strategic advisor to senior leadership on data strategy and innovation
  • Represent Predictive Analytics in regulatory, audit, and governance forums
  • Foster partnerships across the organization
Requirement:
  • Bachelor's in a quantitative discipline
  • 10+ years of experience in predictive modeling and machine learning
  • 6+ years of experience leading strategic initiatives or mentoring senior-level peers
  • Deep expertise in credit risk modeling and ML techniques
  • Advanced proficiency in Python, SQL, and statistical tools (e.g., R, SAS)
  • Strong understanding of cloud architecture and model lifecycle management
  • Proven ability to influence senior stakeholders
  • Experience with regulatory compliance in financial services
Preferred:
  • Ph.D. or Master's in a quantitative discipline
  • Experience in auto finance or consumer lending
  • Expertise with cloud platforms (AWS, Azure, GCP, etc.) and MLOps tools (MLflow, Kubeflow, etc.)

Target Compensation: $250,513 - $292,265 base salary + annual bonus

This position is not currently open to individuals who require sponsorship now or in the future to work legally for Credit Acceptance, such as H-1b / H-4 or F-1 OPT visa holders.

#LI-Remote

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Benefits

  • Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work

Our Company Values:

To be successful in this role, Team Members need to be:

  • Positive by maintaining resiliency and focusing on solutions
  • Respectful by collaborating and actively listening
  • Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions
  • Direct by effectively communicating and conveying courage
  • Earnest by taking accountability, applying feedback and effectively planning and priority setting

Expectations:

  • Remain compliant with our policies processes and legal guidelines
  • All other duties as assigned
  • Attendance as required by department

Advice!

We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application!

P.S.

We have great details around our stats, success, history and more. We're proud of our culture and are happy to share why - let's talk!

Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent.

Credit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person's age, race, color, religion, sex, gender, sexual orientation, gender identity, national origin, veteran or disability status, criminal history, or any other legally protected characteristic.

California Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you.

Play the video below to learn more about our Company culture.

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