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Director Machine Learning Jobs in Maple Grove, MN

Pwc

AI & GenAI Data Scientist-Director

Minneapolis, MN · On-site

$155K - $410K/yr

As a Director, you will set the strategic direction and lead business development efforts, making ... Responsibilities - Leading the design and development of AI and Machine Learning solutions to ...

Vizient

Director of Engineering

Minneapolis, MN

Lead the delivery of secure, scalable, cloud-native applications that leverage advanced analytics, machine learning, generative AI, and intelligent automation. Champion Responsible AI principles and ...

THOMSON REUTERS

Lead Research Engineer

Eagan, MN · On-site +1

$104K - $137K/yr

As a member of Thomson Reuters Labs, you will have a direct impact on our company and develop ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

Thomson Reuters

Lead Research Engineer

Eagan, MN · On-site

$104K - $137K/yr

As a member of Thomson Reuters Labs, you will have a direct impact on our company and develop ... Experience integrating Machine Learning solutions into production-grade software with a sound ...

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All JobsMachine Learning 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 Aug 12, 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 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 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 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 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 July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $94,134 per year, or $45.3 per hour.

Senior Data Scientist - AI / Machine Learning

Socket.dev

Minneapolis, MN • On-site

$175 - $225/hr

Other

Posted 7 days ago

Job description

Senior Data Scientist - AI & Machine Learning ($175k - $225k) GEOSPACE LLC | Minneapolis, MN (Hybrid) | Full-Time About Us

GEOSPACE is a Minneapolis-based startup with new perspectives on acquiring, transforming, and applying 3D data for the real estate industry. We're building technology that understands the geometric structure of the built environment - turning raw point clouds into structured, intelligent models.

Our team is small, tight-knit, and intentionally cross-disciplinary. We share ideas openly, collaborate across every discipline, and support one another through problems that none of us have solved before. This is a safe environment for learning, for asking questions, for challenging ideas, and for growing together. If you're looking for a place where your voice matters from day one and your contributions shape the direction of the company, you'll feel at home here.

The Role

We're looking for a senior data scientist to join our team as a core technical contributor and creative force. This is a role for someone who wants to work on the hardest, most interesting problems in our stack- structural reasoning over 3D data, graph neural networks, computer vision and the AI systems that bring spatial understanding to life.

You'll work alongside our existing data science team and complement, bringing your own lens on how to approach problems that don't have textbook solutions. You'll have direct influence on the direction of our core AI products, and the autonomy to pursue ideas that push them forward.

What You'll Do
  • Architect and refine AI/ML pipelines that transform unstructured point cloud data into meaningful, structured representations
  • Design and develop ML models including graph neural networks for structural and spatial reasoning over 3D data
  • Explore and implement agentic AI capabilities that enhance automation, decision-making, and system intelligence across our platform
  • Collaborate on computer vision approaches for feature extraction, classification, and validation of architectural elements
  • Lead experimentation - define hypotheses, design rigorous tests, and drive measurable outcomes
  • Contribute creative ideas and novel approaches to problems at the frontier of 3D understanding and spatial AI
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders
What We're Looking For
  • 5+ years of experience in data science or applied machine learning
  • Proficiency in Python with deep experience in ML frameworks (PyTorch, TensorFlow, or equivalent)
  • Experience with experiment tracking, model evaluation, and reproducible research practices
  • Comfort working with 3D data, point clouds, or computational geometry (or a genuine eagerness to dive in)
  • Computer vision experience is a strong plus
  • Master's or PhD in Computer Science, Data Science, Mathematics, or a related quantitative field preferred
Who You Are
  • Self-starting and proactive
  • you don't wait to be told what to work on. You identify what matters and move.
  • Enthusiastic and energetic
  • you bring momentum to the team, not just output.
  • Creative
  • you see problems differently and aren't afraid to propose unconventional approaches.
  • An owner
  • you manage your own work, communicate your progress, and hold yourself accountable.
  • Collaborative
  • you make the people around you better by sharing ideas, asking good questions, and engaging openly.
What We Offer
  • Competitive salary with equity participation
  • Ground-floor opportunity at a funded startup solving real, complex problems
  • A talented, tight-knit technical team that values craft and creativity
  • Hybrid work environment in Minneapolis
  • Direct influence on product direction and technical strategy
  • The chance to work on genuinely novel challenges in 3D AI and spatial intelligence
Our Values
  • We are a team above all else: This is a respectful, safe place for opinions
  • Team of equals: No hierarchy of egos, just collaborative problem-solving
  • Clear vision: We know where we're going and how to get there
  • Move fast: We're well-funded and empowered to execute
  • Quality matters: We build things right, not just fast
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