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Vice President Machine Learning Jobs in Michigan

Utilidata

VP, AI & Applications

Ann Arbor, MI · On-site +1

$230K - $290K/yr

The VP, AI & Applications leads the intelligence layer of Karman - the algorithms, control methods ... optimization, applied machine learning, or signal processing * Demonstrated experience in ...

Angle Advisors

Vice President

Birmingham, MI · On-site

$120 - $150/hr

Vice President Angle Advisors is seeking to complement its Birmingham-based team of professionals ... We offer a collegial, entrepreneurial work environment along with an intensive learning experience ...

Stout Risius Ross, LLC

Vice President

Detroit, MI

Seeking a Vice President/Sr. Vice President for our growing Accounting & Reporting Advisory ... To foster employee development we offer ongoing training and learning opportunities, employee ...

Tokio Marine HCC International

VP of Operations

Troy, MI · On-site

$180 - $280/hr

## VP of OperationsApplyremote type: Hybridlocations: Michigan - Troytime type: Full timeposted on ... Strong learning culture with ongoing development opportunities* Opportunities for growth and career ...

Sun RV Resorts

VP, Asset Management

Southfield, MI · On-site +1

Career Site Header Job Summary The VP, Asset Management supports the strategic oversight of a ... plenty of learning and growth. In exchange, we will reward you with great pay, advancement ...

Sun, Inc.

VP, Asset Management

Southfield, MI · On-site +1

Career Site Header Job Summary The VP, Asset Management supports the strategic oversight of a ... plenty of learning and growth. In exchange, we will reward you with great pay, advancement ...

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All JobsVice President Machine Learning JobsVice President Machine Learning Jobs in Michigan

Vice President Machine Learning information

See Michigan salary details

$30.9K

$100K

$158.2K

How much do vice president machine learning jobs pay per year?

As of Sep 4, 2026, the average yearly pay for vice president machine learning in Michigan is $99,996.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,800.00 and $124,600.00 per year, depending on experience, location, and employer.

What does a vice president of machine learning do?

A Vice President of Machine Learning leads and oversees the strategic direction of machine learning initiatives within an organization. They manage teams of data scientists, engineers, and researchers to develop and deploy AI-driven solutions that support business goals. This role involves collaborating with other executives, setting research agendas, ensuring best practices, and staying updated with the latest advancements in the field. The VP also plays a key role in resource allocation, talent acquisition, and scaling machine learning systems across the company.

What are the key skills and qualifications needed to thrive as a vice president of machine learning?

To thrive as a Vice President of Machine Learning, you need advanced expertise in machine learning, data science, and computer science, typically backed by a master's or PhD and extensive industry experience. Proficiency with platforms like TensorFlow, PyTorch, cloud computing services, and experience managing large-scale AI projects are crucial, along with a track record in leading technical teams. Exceptional leadership, strategic vision, and strong communication skills set outstanding candidates apart by enabling effective cross-functional collaboration and innovation. These skills are vital for driving organizational AI strategy, ensuring technical excellence, and delivering scalable business impact.

What are some common challenges faced by a vice president of machine learning when leading cross-functional teams?

A Vice President of Machine Learning often encounters challenges such as aligning diverse teams on technical priorities, managing expectations across product, engineering, and business units, and ensuring effective communication between stakeholders with varying levels of technical expertise. Balancing the need for innovation with practical business objectives and resource constraints is also a frequent challenge. Cultivating a collaborative culture and fostering ongoing professional development are key to overcoming these hurdles and driving successful outcomes.

What is the difference between Vice President Machine Learning vs Director of Machine Learning?

AspectVice President Machine LearningDirector of Machine Learning
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience in MLSimilar educational background, less senior experience needed
Work EnvironmentStrategic leadership, cross-departmental collaborationProject management, team oversight
Employer & Industry UsageLarge tech firms, enterprises with AI focusTech companies, startups, research labs
Search & Comparison IntentHigh overlap in responsibilities and qualificationsRelated but more operational role

The Vice President Machine Learning typically holds a senior leadership role focused on strategic planning and cross-functional collaboration, while the Director of Machine Learning manages day-to-day projects and teams. Both roles require advanced degrees and experience in machine learning, but the VP is more involved in high-level decision-making and industry strategy.

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 job categories do people searching Vice President Machine Learning jobs in Michigan look for?

The top searched job categories for Vice President Machine Learning jobs in Michigan are:

Vice President Machine Learning jobs near you
Infographic showing various Vice President Machine Learning job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $99,996 per year, or $48.1 per hour.

VP, AI & Applications

Utilidata

Ann Arbor, MI • On-site, Remote

$230K - $290K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago

Job description

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade, we have applied AI to the electric grid - bringing real-time visibility and power-flow control to complex energy infrastructure. Our Karman platform, built on a custom NVIDIA module, brings that same capability to AI data centers, giving operators a way to better use the power already available to them.
The VP, AI & Applications leads the intelligence layer of Karman - the algorithms, control methods, and optimization techniques that turn microsecond-resolution measurement data into closed-loop control actions and quantifiable customer value. Reporting to the Chief Technology Officer, this role owns how Karman creates value across the data center power system: the internal power distribution system, the utility connection, and ancillary loads and generation including cooling, capacitor shelves, and on-site solar plus battery. The VP partners with the VP, Engineering on the platform that runs these methods in production, and with VP, Product on how value is packaged and delivered to customers.
Responsibilities
  • Lead and set technical direction for the team responsible for Karman's algorithms, control methods, optimization, and applied research - including power flow control and closed-loop adaptive control - through direct management of a Director and Principal-level individual contributors
  • Drive technical co-development with strategic technology partners across hardware, firmware, and commercial tracks, and provide customer-facing technical leadership, working with GTM and Product
  • Develop and manage release plans for algorithms and applications work, with clear engineering direction, validation strategy, and tracking against committed product capabilities
  • Partner with the VP, Engineering to ensure algorithms and control methods are designed for production deployment on the Karman software and hardware platform
  • Stay hands-on early in the role and scale toward leader-of-leaders as the team grows
  • Collaborate with the People Team to attract, onboard, and retain top talent in algorithms, applied AI, and control systems
  • Optimize resource allocation, budgeting, and timelines for team effectiveness
  • Develop and report on success metrics that measure the team's contribution to organizational objectives
Minimum Qualifications
  • 10-15+ years of professional experience leading teams that develop algorithms, control systems, optimization methods, or applied AI in production
  • Deep technical background in one or more of: control theory, power systems, optimization, applied machine learning, or signal processing
  • Demonstrated experience in algorithms and decision-making paradigms with edge AI tools, including control systems that run offline or isolated for extended periods
  • Track record of developing leaders and growing the careers of senior engineers and researchers; sees mentorship and team development as a core measure of personal impact
  • Demonstrated ability to lead a senior, technically deep team while remaining hands-on enough to shape architecture and methods directly
  • Experience translating research and prototypes into shipped products in a startup or fast-moving environment
  • Strong communication skills, including the ability to represent technical work credibly to executives, customers, and external technical organizations
  • Experience with intellectual property strategy and the patent process
  • Willingness to travel up to 20% of time
Enhanced Qualifications (Nice to Have)
  • PhD strongly preferred in Electrical Engineering, Computer Science, Control Systems, Applied Mathematics, Operations Research, or a related technical discipline
  • Experience with energy systems, power electronics, or grid-edge applications
  • Published research, granted patents, or recognized contributions to control systems, applied AI, or power systems
  • Background in real-time systems, deterministic control loops, or hard real-time operating systems
  • Experience with digital twins, hardware-in-the-loop simulation, or co-simulation environments
Salary Range: $230,000 to $290,000 base compensation depending on experience plus stock options. Salary will be commensurate with an individual's skills, training, years of experience, and in line with internal compensation bands.
Location: This position can be performed remotely from anywhere in the United States.
Our Commitments:
Utilidata values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws.
We are committed to:
  • Creating a diverse and inclusive workplace that is welcoming, supportive, affirming and respectful
  • Empowering employees to solve problems and work together to make a difference
  • Providing mentorship and growth opportunities as part of a collaborative team
  • A flexible work environment with flexible paid time off
  • Competitive compensation and benefits, including health, dental, vision, and employer-match 401k

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