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3D Machine Learning Jobs in Boston, MA (NOW HIRING)

Oxipital AI

3D Modeler Technician

Bedford, MA · On-site

The 3D Modeler Technician will work closely with the Machine Learning team to effectively translate customer needs to model requirements, train machine learning models using our synthetic data ...

Autodesk

Machine Learning Engineering Manager

Boston, MA · On-site

$148.50K - $266.20K/yr

As an Machine Learning AI Development Manager for the AEC Solutions group, you will lead your team ... Strong fundamentals in 3D geometry and geometric computer vision * Exposure to Cloud Computing in ...

ICONSTAFF

Machine Learning Engineer

Cambridge, MA · On-site +1

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of ... SLAM, 3D perception, or sensor fusion (LiDAR, IMU). * Real-time or low-latency inference pipelines.

ASUS

Senior Machine Learning Engineer

Boston, MA · On-site +1

$161K - $246K/yr

The ASUS Robotics & AI Center is seeking a Senior Machine Learning Engineer to join our global ... Experience with camera geometry, 3D reconstruction, or GPU programming (e.g., CUDA, Triton) is a ...

Cognex

Senior Machine Learning Engineer

Natick, MA

$115K - $225K/yr

Cognex is a global leader in the exciting and growing field of machine vision. Our employees ... 3D vision technology. Our Work Hard, Play Hard, Move Fast culture recognizes achievement and ...

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3D Machine Learning information

See Boston, MA salary details

$27.7K

$46.3K

$95.6K

How much do 3d machine learning jobs pay per year?

As of May 31, 2026, the average yearly pay for 3d machine learning in Boston, MA is $46,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,300.00 and $50,000.00 per year, depending on experience, location, and employer.

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 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 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 Boston, MA? For 3D Machine Learning jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching 3D Machine Learning jobs in Boston, MA look for? The top searched job categories for 3D Machine Learning jobs in Boston, MA are:
What cities near Boston, MA are hiring for 3D Machine Learning jobs? Cities near Boston, MA with the most 3D Machine Learning job openings:
3D Machine Learning jobs near you
Infographic showing various 3D Machine Learning job openings in Boston, MA as of May 2026, with employment types broken down into 84% Full Time, 7% Part Time, and 9% Contract. Highlights an 92% Physical, 4% Hybrid, and 4% Remote job distribution, with an average salary of $46,263 per year, or $22.2 per hour.

3D Modeler Technician

Oxipital AI

Bedford, MA • On-site

Full-time

Posted 10 days ago

Job description

Oxipital AI is on a mission to revolutionize the manufacturing industry with its cutting-edge AI-enabled machine vision solutions. These solutions, when implemented, drive greater resilience, operational efficiency, and sustainability in the most complex and critical manufacturing processes. As a fast-growing company striving to make a difference every day, we are seeking a collaborative and dynamic3D Modeler Technicianto join the team. The 3D Modeler Technician will work closely with the Machine Learning team to effectively translate customer needs to model requirements, train machine learning models using our synthetic data generation and training pipeline, and evaluate the models.


To succeed in this role, you will have attention to detail, and a willingness to learn. You'll play a crucial part in supporting our Machine Learning team to assist with modifying and creating 3D objects, evaluating machine learning models, and identifying areas for model improvement. This work will play an important role in customer-facing model releases. If you are passionate about AI, machine vision, and robotics, thrive in a fast-paced environment, and are eager to make an impact, we'd love to hear from you.

Primary Responsibilities:

  • Partner with ML team to determine customer requirements
  • Modify and create 3D objects using software like Blender
  • Build and test Machine Learning Models for customer applications
  • Program and tune 3D vision system
  • Provide ML support, including evaluating Machine Learning models
  • Provide training for customers and Oxipital AI employees
  • Help to maintain our library of reusable 3D assets
  • Provide applications engineering support (incl. creating use case videos) to marketing team
  • Develop 3D Modeler notes to expand on manuals as needed, and summarize findings in reports to relevant stakeholders

Requirements:

  • Bachelor's degree in Engineering or a related field preferred
  • 1-3 years of experience in building 3D object or machine learning models
  • Experience with Linux operating systems, the command line, and tools like git
  • Experience with 3D design modeling software; such as Blender
  • Familiarity with the basics of Machine Learning preferred
  • Understanding of physically based rendering workflows, 3D rendering engines, and lighting, preferred
  • Ability to commute and work in the Bedford, MA office

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