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Director Machine Learning Jobs in Rochester Hills, MI

We are seeking a Senior Director of Engineering to lead the team responsible for the AEC Data Model ... machine learning systems and evolving to support broader data and intelligence use cases. In this ...

The Head of Data will lead the centralization of data, business intelligence, and machine learning ... Responsibilities include interviewing, training, and hiring, planning, assigning and directing work ...

The Head of Data will lead the centralization of data, business intelligence, and machine learning ... Responsibilities include interviewing, training, and hiring, planning, assigning and directing work ...

Data Platform Architect

Southfield, MI

$58.50 - $75.25/hr

Experience supporting or enabling machine learning or AI platforms * Ability to influence cross‑functional stakeholders without direct authority * Strong communication skills and the ability to ...

Data Platform Architect

Southfield, MI · On-site

$58.50 - $75.25/hr

Experience supporting or enabling machine learning or AI platforms * Ability to influence cross-functional stakeholders without direct authority * Strong communication skills and the ability to ...

Data Platform Architect

Southfield, MI

$58.50 - $75.25/hr

Experience supporting or enabling machine learning or AI platforms * Ability to influence crossfunctional stakeholders without direct authority * Strong communication skills and the ability to convey ...

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 ...

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 ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Direct the team through complexity, demonstrating composure through ambiguous, challenging and ...

Sr. Solutions Engineer - Hunter Team

Detroit, MI · On-site

$54.50 - $70.50/hr

The Sr. Solutions Engineer will work with the Enterprise Account Executive to define and direct the ... Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning ...

Senior Robotics Data Engineer - Only W2

Warren, MI · On-site

$99.60K - $135.20K/yr

Required Qualifications: · Minimum 3 years of experience in data engineering, machine learning ... Preferred Qualifications: · Direct experience supporting robotics perception, grasping, or ...

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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 May 29, 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 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 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 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 popular job titles related to Director Machine Learning jobs in Rochester Hills, MI? For Director Machine Learning jobs in Rochester Hills, MI, the most frequently searched job titles are:
What cities near Rochester Hills, MI are hiring for Director Machine Learning jobs? Cities near Rochester Hills, MI with the most Director Machine Learning job openings:
Biobehavioral Human-Machine Teaming & AI Researcher

Biobehavioral Human-Machine Teaming & AI Researcher

General Motors

Warren, MI • On-site

Full-time

Posted 22 days ago


General Motors rating

8.1

Company rating: 8.1 out of 10

Based on 301 frontline employees who took The Breakroom Quiz

5th of 44 rated automakers


Job description

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Biobehavioral Human-Machine Teaming & AI Researcher
Who You Are:
As a member of the Vehicle Safety, Engineering, & Defense Research Lab, you will be
working with the Biometrics & Sensing group. You will be applying your expertise in
autonomous systems, human-machine teaming, biometrics, and data science for
developing innovative approaches to the development of novel biobehavioral user
understanding. As a researcher in this group, you will implement your solutions in
driving simulators, on vehicles, and publish your research findings in peer-reviewed
journals to extend the reach of General Motors' development of next-generation
technology. This will also include interfacing with universities, research institutes, and
other advanced technology laboratories to build a network for amplifying your research.
What You Do:
Develop immersive user experience simulation solutions for automated driving-
enabled vehicles and robotic systems
Create tools to aid in the development or deployment of human-vehicle interface
solutions
Conduct user studies to enable evidence-based decisions about in-vehicle
interfaces
Participate in government-funded research work
Document your research through internal and external publications
Facilitate technology transfer via active participation in cross-functional teams
What You Need:
Advanced Degree in a science, technology, engineering, or mathematics-related
field
5+ years of research experience in at least one of the following areas:
Autonomous Vehicle Technology, Human-Machine Teaming, Robotics, Biometrics
Sensing, Driving Simulation, or other related areas
Strong theoretical, experimental or software programming skills
What Would be Even Better:
PhD in a related area
Hands-on experience with biometric-based user interfaces
Hands-on experience building and using real-time simulators to develop
autonomous systems and human-machine interfaces
Experience with data analysis or AI/Machine Learning for engineering
applications
Familiarity with ROS or ROS 2 robotics framework
Hands-on experience running user studies in a driving simulator
Demonstrates leadership in field of study, extra-curricular activities, or service
organizations

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). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

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, email us 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.


What General Motors employees say

Pay

Benefits

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Workplace

Get the full story on Breakroom


General Motors logo

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