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Director Machine Learning Jobs in Rochester Hills, MI

Hello Innovation

Director of Data Science

Detroit, MI · On-site

As our Director of Data Science you will set the foundation that powers impactful data-driven ... Use various machine learning and statistical techniques to create scalable solutions for business ...

Hello Innovation

Director of Data Science

Detroit, MI · On-site

As our Director of Data Science you will set the foundation that powers impactful data-driven ... Use various machine learning and statistical techniques to create scalable solutions for business ...

SecondTalent

Digital Twin Developer

Detroit, MI · On-site

$80 - $100/hr

Implements machine learning algorithms for predictive analytics and anomaly detection * Creates ... Director of Digital Twin Engineering: $220,000 - $280,000+ annually Geographic Opportunities

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All JobsMachine Learning JobsDirector Machine Learning JobsDirector Machine Learning Jobs in Rochester Hills, MI

Director Machine Learning information

See Rochester Hills, MI salary details

$33.1K

$84.6K

$129.8K

How much do director machine learning jobs pay per year?

As of Sep 9, 2026, the average yearly pay for director machine learning in Rochester Hills, MI is $84,619.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,800.00 and $97,600.00 per year, depending on experience, location, and employer.

What is a director machine learning?

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 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 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.

Is a machine learning director a high paying job?

A machine learning director typically earns a high salary due to the specialized skills, leadership responsibilities, and experience required for the role. Compensation often includes base salary, bonuses, and stock options, reflecting the demand for expertise in AI and data science. Salaries can vary based on industry, company size, and location, but generally rank among the higher-paying technology leadership positions.

What does a director of machine learning do?

A director of machine learning oversees the development and implementation of machine learning strategies and projects within an organization. They lead teams of data scientists and engineers, set technical goals, ensure project alignment with business objectives, and often collaborate with other departments to integrate AI solutions using tools like Python, TensorFlow, or PyTorch.
Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Rochester Hills, MI as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $84,619 per year, or $40.7 per hour.

2027 Summer Intern - Manufacturing Engineering Global Automation

Warren, MI • On-site

General Motors
Transportation Equipment Manufacturing • 10K+ employees
Learn more about General Motorsexternal

$15.75 - $20.50/hr

Full-time

Posted 8 days ago

General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 310 frontline employees who took The Breakroom Quiz

7.3

Company rating compared to similar companies: 7.3 out of 10

Automakers average

Based on 6,340 frontline employees who took The Breakroom Quiz

Job description

Job Description
The Team:
As a Manufacturing Engineering Intern for Global Automation, you will be exposed to various positions and assignments in plant and corporate staff locations throughout the United States sought to cultivate development and to educate.
What You'll Do:
Positions the organization are hands-on and engaging. You will learn problem solving on the fly, to work collaboratively with many members of the team, and interface with new and exciting technologies. Most assignments will be located in Warren, MI, strategic partners around Southeast Michigan, or manufacturing sites in Michigan. Examples of Manufacturing Engineering assignments available include:
  • Analyze product, process, and technology to craft best methods to assemble vehicles, and protect the manufacturing process
  • Recommend and validate improvement for existing processes
  • Support evaluation of innovative technologies to address current manufacturing challenges
  • Develop tools to improve program/project management
  • Support implementation of cybersecurity tools for manufacturing
  • Assist in the design, build, and validation of tools and equipment
  • Programming of manufacturing technology
  • Assist maintenance personnel in operation and maintenance of specialized equipment
  • Troubleshoots special maintenance and equipment problems
  • Coordinate machinery and equipment upgrade projects

About the Roles & Responsibilities:
  • Develop processes, equipment, and tools for 50 Assembly, 30+ Stamping, and 30 Propulsion Plants, and approximately 30 launches each year globally
  • Program & Integrate Software and Hardware on industrial automation equipment. Including but not limited to Rockwell & Siemens PLCs + HMIs, Fanuc Robots, vision guidance systems & various other automation control devices.
  • Understand current automation safety standards and ensure they are upheld
  • Collaborate with other centers to reduce energy and waste globally
  • Assist in the development of new software, hardware & error proofing standards to reduce cost and improve efficiencies
  • Review, update & approve wiring diagrams for various systems & networks
  • Drive collaboration with equipment suppliers to ensure first time quality and on time delivery, installation and runoff of automation equipment

Required Qualifications:
  • Pursuit of a bachelor's degree in Engineering or Technology in one of the following areas: Automation, Automotive, Computer/Computer Science/Computer Animation, Construction Management, Industrial, Information Technology, Kinesiology, Machine Learning, Manufacturing, Mechanical, Mechatronics, Robotics, Software, or equivalent
  • Must be graduating December 2027 and June 2029
  • Able to work full-time, 40 hours per week during the summer months
  • Must be willing to work any shift, potentially including weekends
  • Must be willing to work in a plant environment

What will give you a competitive edge (Preferred Qualifications):
  • Insatiable curiosity and desire to learn
  • Prior experience in field of study
  • Conceptual understanding and/or experience in any of the following:
  • Controls - software, hardware development or execution
  • Developing tools, equipment, or processes such as layouts
  • Exposure to manufacturing processes: components to product assembly
  • Simulation/Game design or development
  • Artificial intelligence, machine learning, machine vision equipment or systems
  • Automation or automated equipment such as conveyance or robotics
  • Information Technology or Network design
  • Construction or installation planning, process, or execution
  • Human factors, ergonomics
  • Consistently demonstrates innovative thinking that is customer-centric
  • Able to work independently and with a team
  • Outstanding interpersonal and relationship management skills with the ability to effectively collaborate with varying levels of the organization and external partners
  • Emerging partnership and collaboration skills and ability to learn from and share knowledge with co-workers in a fast-paced environment
  • High level of integrity, ability to deal with ambiguity, takes initiative/self-directed
  • Knowledge of statistical methods as applied to experimental design and process development

Job locations can be at Manufacturing Engineering headquarters in Warren, Michigan or in various plant locations throughout the U.S. Plant locations may include:
  • Warren, MI
  • Detroit-Hamtramck, MI
  • Brownstown, MI
  • Bay City, MI
  • Flint, MI
  • Lansing, MI
  • Orion, MI
  • Milford, MI
  • Fort Wayne, IN
  • Arlington, TX
  • Bowling Green, KY
  • Spring Hill, TN
  • Wentzville, MO
  • Fairfax, KS
  • Toledo, OH
  • Parma, OH

Travel varies based on assignment and may be required to strategic partners and plants.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Warren, MI (or assigned location) on a full-time basis.
GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program.
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Start dates for this internship role are May & June of 2027.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908

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