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Director Machine Learning Jobs in Maple Grove, MN

York Solutions, LLC

ML Engineer

Saint Paul, MN · On-site +1

Ability to own ML delivery tasks end-to-end with little to no direct support. Hands-on experience in deploying machine learning models into production environments. Strong understanding of software ...

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All JobsDirector Machine Learning JobsDirector Machine Learning Jobs in Maple Grove, MN

Director Machine Learning information

See Maple Grove, MN salary details

$36.9K

$94.1K

$144.4K

How much do director machine learning jobs pay per year?

As of Jun 15, 2026, the average yearly pay for director machine learning in Maple Grove, MN is $94,134.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,200.00 and $108,500.00 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 Maple Grove, MN? The most popular types of Machine Learning jobs in Maple Grove, MN are:
What are popular job titles related to Director Machine Learning jobs in Maple Grove, MN? For Director Machine Learning jobs in Maple Grove, MN, the most frequently searched job titles are:
What job categories do people searching Director Machine Learning jobs in Maple Grove, MN look for? The top searched job categories for Director Machine Learning jobs in Maple Grove, MN are:
What cities near Maple Grove, MN are hiring for Director Machine Learning jobs? Cities near Maple Grove, MN with the most Director Machine Learning job openings:
Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Maple Grove, MN as of June 2026, with employment types broken down into 74% Full Time, 20% Part Time, 2% Temporary, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $94,134 per year, or $45.3 per hour.
Machine Learning Engineer

Machine Learning Engineer

York Solutions, LLC

Saint Paul, MN

Other

Posted 6 days ago

Job description

  • This is a highly interactive, customer-facing role requiring strong presence, energy, and confidence.
  • Candidates must be comfortable facilitating discussions, breaking silence, and engaging business stakeholders at all levels.
  • Success in this role requires acting as a technical ambassador and advocate, not just an individual contributor.

Enterprise AI Mindset

  • Proven experience building AI solutions that scale across an enterprise, not just within a single team or department.
  • Demonstrated ability to design reusable AI capabilities and platforms that enable multiple business units.
  • Experience supporting AI solutions post-launch, including monitoring, CI/CD, enhancements, and operational support.

Breadth Across AI Capabilities

  • Experience across multiple AI domains such as:
  • Document processing and intelligent document automation
  • Voice analytics and conversational intelligence
  • Knowledge assistants / chatbots
  • (Bonus) Fraud analytics or advanced predictive modeling
  • Ability to quickly learn and apply new AI techniques as business needs evolve.

Self-Directed Learning & Curiosity

  • Strong passion for AI demonstrated through continuous learning outside of formal job responsibilities.
  • Ability to articulate learning sources (e.g., researchers, authors, frameworks, communities, or platforms).
  • Keeps current with emerging AI trends, tools, and best practices in a rapidly evolving field.

End-to-End Ownership

  • Experience owning the full AI product lifecycle:
  • Concept ? MVP ? Enterprise rollout ? Ongoing optimization
  • Strong understanding of AI governance, scalability, and operational excellence.

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