1

Director Machine Learning Jobs in Michigan (NOW HIRING)

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Deep expertise in data architecture, advanced analytics, machine learning, and emerging AI ...

The Director, Data Analytics & Artificial Intelligence is a senior leadership role within DENSO ... Lead development and deployment of advanced analytics, machine learning, and AI use cases.

Today, we stand as the foremost automotive AI and machine learning powered technology, excelling in ... Role Details The Director, Enterprise Accounts, plays a pivotal role in driving the success and ...

Senior Software Developer

Birmingham, MI · On-site

$52 - $68.50/hr

We combine CGI, distributed computing, and machine learning to do it, and we do it with a deliberately small team The Role You'll join a small, senior development team with direct access to the CTO ...

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 ...

next page

Showing results 1-20

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 Jun 28, 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 is a $900,000 AI job?

A $900,000 AI job typically refers to senior roles such as Director of Machine Learning or Chief AI Officer, which involve leading AI strategy, managing teams, and developing advanced models. These positions often require extensive experience, expertise in machine learning frameworks, and strong leadership skills, with compensation reflecting high-level responsibilities and industry demand.

Which 3 jobs will survive AI?

For a Director of Machine Learning, roles that require complex problem-solving, strategic oversight, and domain expertise are likely to persist, such as AI research scientists, data science managers, and AI ethics specialists. These positions involve high-level decision-making, creativity, and understanding of nuanced human contexts that are difficult for AI to fully replicate. Skills in leadership, critical thinking, and advanced technical knowledge will remain valuable in these roles.

Is ML a high paying job?

Machine Learning (ML) roles, including positions like ML Engineer or Data Scientist, are generally among the higher-paying jobs in the tech industry due to the specialized skills required, such as programming, statistics, and experience with tools like TensorFlow or PyTorch. Salaries vary based on experience, location, and company size but tend to be significantly above average for many other roles in technology and data analysis.

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.

How much does an AI director make?

An AI director's salary typically ranges from $120,000 to $200,000 annually, depending on experience, industry, and location. Senior roles with advanced skills in machine learning, deep learning, and leadership often command higher compensation, especially in tech hubs or large organizations.

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 cities in Michigan are hiring for Director Machine Learning jobs? Cities in Michigan with the most Director Machine Learning job openings:
Infographic showing various Director Machine Learning job openings in Michigan as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $80,128 per year, or $38.5 per hour.
Director of Robotic Engineering

Director of Robotic Engineering

Eccalon, LLC

Detroit, MI • On-site

Other

Posted 5 days ago


Job description

Director of Robotic Engineering

Location: Detroit, MI- Onsite

Type: Full-time

Security Clearance: No clearance required, must be clearable.


About Us

Eccalon provides global solutions to the most challenging technological issues of the 21st-century, and our evolving portfolio spans five major markets: Machine Learning, Cybersecurity, Aerospace & Defense, Material Sciences, Advance Manufacturing, Sports Science, Biotechnology, and Health & Life Sciences. Visit our website here.


Why Join Us?

Eccalon's Executives foster a supportive work environment allowing our teams to thrive, and have a fierce dedication to innovation, security, and people. Our culture is built on inclusion, teamwork, trust, and we are committed to offering career advancement opportunities to all employees. Encouraging a healthy and balanced life, we offer an extensive benefits package to support the wellness of our employees and their families. You will be joining a team of innovators, working with cutting edge technologies, supporting mission critical projects, and making an impact.


Job Description

We are seeking a highly experienced Director of Robotics Engineering to lead the vision, architecture, and execution of advanced robotic systems. This role requires deep technical expertise in robotics combined with strong leadership, product focus, and system‑level thinking. The Director will oversee end‑to‑end development of robotic platforms—from concept and architecture through prototyping, validation, and production—while mentoring technical leaders and driving innovation across hardware, software, and controls.


Responsibilities

Technical Leadership & Architecture

  • Own the technical vision and system architecture for robotic platforms and subsystems
  • Lead design and integration of robotics hardware, software, firmware, and controls
  • Guide decisions across kinematics, dynamics, sensing, perception, motion planning, and autonomy
  • Ensure system‑level performance, reliability, safety, and scalability


Team & Organizational Leadership

  • Build, lead, and mentor senior robotics engineers and technical managers
  • Establish engineering standards, best practices, and development processes
  • Foster a culture of technical excellence, ownership, and innovation
  • Partner with recruiting to hire top‑tier robotics talent


Product & Execution Ownership

  • Drive roadmap execution aligned with product, manufacturing, and business goals
  • Oversee prototyping, testing, validation, and production readiness
  • Manage technical risk, trade‑offs, and cross‑disciplinary dependencies
  • Support critical design reviews and milestone decision points


Cross‑Functional Collaboration

  • Collaborate with Product, Manufacturing, Quality, and Operations teams
  • Align robotics development with regulatory, safety, and compliance requirements
  • Support customer engagements, demos, and executive‑level technical discussions


Required Qualifications

  • Bachelor’s degree in Robotics, Electrical, Mechanical, Computer Engineering, or related field (Master’s or PhD strongly preferred)
  • 10+ years of experience in robotics engineering, including leadership of complex systems
  • Proven track record delivering robotic systems into real‑world deployment
  • Demonstrated experience leading senior technical teams and large programs


Robotics Expertise (Required)

Deep, hands‑on knowledge in several of the following:

  • Robotic system design and integration
  • Robot kinematics, dynamics, and control systems
  • Autonomous systems and motion planning
  • Sensing, perception, and sensor fusion (Lidar, vision, depth, IMUs)
  • Embedded systems, real‑time software, and robotics middleware (e.g., ROS/ROS2)
  • Hardware‑software co‑design and system debugging


Preferred Experience

  • Industrial, mobile, medical, autonomous, warehouse, or field robotics
  • Safety‑critical or regulated robotic systems
  • Manufacturing, reliability, and production scale‑up
  • Working with multidisciplinary teams across hardware, software, and AI


Equal Employment Opportunity (EEO) Policy

Eccalon provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.


Eccalon logo

About Eccalon

Sourced by ZipRecruiter

We are a cross-functional collective of innovative minds that leverages technology to tackle the most challenging problems of this generation for clients, the nation, and the world. Eccalon fosters creativity, curiosity, and imagination across all departments and divisions to pioneer new ideas, products, and services. We advance innovation.​

Industry

Guided missile and space vehicle manufacturing

Company size

11 - 50 Employees

Headquarters location

Hanover, MD, US

Year founded

2017