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3D Machine Learning Jobs in Minnesota (NOW HIRING)

Kitware

Senior Software Architect

Minneapolis, MN · On-site

$140K - $190K/yr

... machine learning to develop robust solutions for real-world problems. Our projects focus on areas such as 3D reconstruction, object detection, image manipulation detection, and motion pattern ...

Kitware

Senior Software Architect

Minneapolis, MN

$140K - $190K/yr

... machine learning to develop robust solutions for real-world problems. Our projects focus on areas such as 3D reconstruction, object detection, image manipulation detection, and motion pattern ...

ITW North Star Imaging

Software Engineer

Rogers, MN · On-site

$68K - $84K/yr

Experience with Machine Learning, tools like Claude/Cursor, PyTorch, TensorFlow * Self-motivated ... Preferred Skills: > GPU programming > 3D computer graphics with Robotics and Automated Systems ...

Precision Associates Inc.

Toolmaker

Minneapolis, MN · On-site

$27.75 - $35.75/hr

... directly from 2D/3D blueprints without needing step-by-step instructions. Key Duties ... Learning machine shop operations * Operate manual machining centers (Bridgeport, Surface Grinder ...

Landscape Structures

R&D Engineer

Delano, MN · On-site

The fail fast and move on to find solutions and learning is required in this position. Communicates ... machining, and assembly. * Proficiency with 3D CAD modeling software such as SolidWorks preferred.

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All Jobs3D Machine Learning Jobs3D Machine Learning Jobs in Minnesota

3D Machine Learning information

What are some common challenges faced by professionals working in 3d machine learning, and how can they be addressed?

Professionals in 3D machine learning often encounter challenges such as handling large and complex datasets, managing high computational requirements, and ensuring model robustness across diverse 3D data types (e.g., point clouds, meshes, voxel grids). Addressing these challenges typically involves using efficient data preprocessing pipelines, leveraging cloud computing or advanced GPU resources, and staying updated with the latest research on 3D data augmentation and model architectures. Collaboration with multidisciplinary teams—including data engineers, computer vision experts, and domain specialists—is also crucial for overcoming technical obstacles and producing practical, scalable solutions.

What is 3d machine learning?

3D machine learning is a field of artificial intelligence focused on developing algorithms and models that can process and understand three-dimensional data. This includes tasks such as object recognition, scene reconstruction, segmentation, and analysis using 3D data formats like point clouds, meshes, or volumetric grids. Applications of 3D machine learning are found in areas like autonomous driving, robotics, medical imaging, and augmented reality. The field combines techniques from computer vision, deep learning, and geometry processing to interpret complex spatial information.

What are the key skills and qualifications needed to thrive as a 3d machine learning engineer, and why are they important?

To thrive as a 3D Machine Learning Engineer, you need a solid background in computer science, mathematics, and experience with 3D data processing and machine learning algorithms, typically supported by a relevant degree. Expertise in tools and frameworks like Python, PyTorch or TensorFlow, and libraries such as Open3D or PCL is commonly required, along with familiarity with 3D data formats. Strong problem-solving skills, creativity, and effective communication set top performers apart in this role. These skills enable the development of innovative solutions for complex 3D data challenges, which are crucial for advancements in fields like robotics, computer vision, and AR/VR.

What is the difference between 3D Machine Learning vs 3D Computer Vision?

Aspect3D Machine Learning3D Computer Vision
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of ML frameworksDegree in Computer Vision, Computer Science, or related fields; experience with image processing
Work EnvironmentResearch labs, AI development teams, tech companiesImaging labs, robotics, autonomous vehicles, tech firms
Industry UsageDeveloping models for 3D data analysis, sensor data integrationProcessing 3D images, object detection, scene reconstruction

While 3D Machine Learning focuses on creating algorithms that learn from 3D data, 3D Computer Vision emphasizes interpreting and analyzing 3D visual information. Both fields often overlap but serve different primary objectives within AI and imaging applications.

What are popular job titles related to 3D Machine Learning jobs in Minnesota? For 3D Machine Learning jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching 3D Machine Learning jobs in Minnesota look for? The top searched job categories for 3D Machine Learning jobs in Minnesota are:
What cities in Minnesota are hiring for 3D Machine Learning jobs? Cities in Minnesota with the most 3D Machine Learning job openings:
3D Machine Learning jobs near you
Infographic showing various 3D Machine Learning job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Scientist - AI / Machine Learning

Socket.dev

Minneapolis, MN • On-site

$175 - $225/hr

Other

Posted 5 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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