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

Foundation EGI

Computational Design Research Engineer

Boston, MA · On-site +1

$100K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You'll be working with machine learning but not in a vacuum it's applied to real engineering problems, working with 2D and 3D data from CAD, CAE, and CAM systems. A big part of the work is taking ...

Xometry

Principal Data Scientist - Gen AI

Waltham, MA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The ideal candidate will have a passion for advancing machine learning and generative AI ... This work involves operating directly on native 3D geometry to enable real-time manufacturability ...

Xometry

Principal Data Scientist - Gen AI

Waltham, MA · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The ideal candidate will have a passion for advancing machine learning and generative AI ... This work involves operating directly on native 3D geometry to enable real-time manufacturability ...

Abbott

Staff AI/ML Engineer

Westford, MA

$99K - $198K/yr

Design, develop and deploy machine learning and deep learning models for clinical applications ... Experience developing AI/ML solutions for 3D volumetric, temporal, longitudinal or sequential ...

Abbott

Staff AI/ML Engineer

Westford, MA

$99K - $198K/yr

Design, develop and deploy machine learning and deep learning models for clinical applications ... Experience developing AI/ML solutions for 3D volumetric, temporal, longitudinal or sequential ...

Abbott

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

Design, develop and deploy machine learning and deep learning models for clinical applications ... Experience developing AI/ML solutions for 3D volumetric, temporal, longitudinal or sequential ...

Amazon

Applied Science Manager, Amazon Robotics

Reading, MA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine learning (Grasping, 3D Geometry, classical computer vision and deep neural networks) PREFERRED QUALIFICATIONS - Experience building complex software systems, especially involving deep ...

Xometry

Staff Software Engineer

Waltham, MA · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Xometry is seeking a Staff Software Engineer to join our core machine learning and data platform ... Multimodal data processing (e.g., combining text, image, and 3D data) * Experience with AWS ...

Analogdevices

Principal ML Engineer (Robotics)

Boston, MA

$200K - $275K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 3D, force, and tactile data streams. * Collaborate on building reusable software frameworks for the team. * Stay abreast of the latest developments in machine learning and robotics from reputable ...

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Showing results 41-60

All Jobs3D Machine Learning Jobs3D Machine Learning Jobs in Boston, MA

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 Aug 15, 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 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 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 August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $46,263 per year, or $22.2 per hour.

Computational Design Research Engineer

Foundation EGI

Boston, MA • Remote

$100K - $140K/yr

Full-time

Re-posted 9 days ago

Job description

REQUIRED: MUST have experience with Code Development + Computational Design and/or Geometry Processing. Applicants will not be considered without this experience.
 
About Us:
 
We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'. An AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.
 
 

On this Role:

This role is a mix of a few worlds coming together. You’ll be working with machine learning but not in a vacuum it’s applied to real engineering problems, working with 2D and 3D data from CAD, CAE, and CAM systems. A big part of the work is taking complex geometry, design workflows, and simulation data and figuring out how to turn that into something an AI system can actually understand and use.

We’re looking for someone who’s strong technically, especially in Python and ML, but also has the curiosity to dig into how things are designed and built in the real world. You might come from a research background or industry but either way you’re comfortable moving between theory and practical application. If you’ve spent time around mechanical systems or engineering design, that’s a big plus, because a lot of this role is about bridging that gap between advanced models and how engineers actually work day to day.

 
Responsibilities
  • Design, develop, and maintain geometry processing and simulation algorithms for engineering applications.
  • Build services for reading, processing, and writing 2D/3D engineering data.
  • Develop rendering modules for generating 2D/3D visual assets.
  • Curate and manage large-scale datasets for learning-based systems.
  • Implement and optimize post-training workflows for machine learning models.
  • Contribute to the development of domain-specific languages for engineering tasks.
What we are looking for
  • 5+ years of academic or industry experience in one or more of the following areas: Geometric Processing, Simulation, Optimization, Machine Learning, or Domain-Specific Languages.
  • Proficient in writing clean, modular, and maintainable Python code.
  • Experience with dataset creation and data pipeline development.
  • PhD or MS with a focus in Computational Design, Simulation, or AI.
  • Experience developing CAD/CAM/CAE software tools.
  • Experience developing or fine-tuning large language models (LLMs), including post-training methods such as quantization, pruning, distillation, or reinforcement learning.
  • Experience designing or implementing DSLs or compilers.

This range represents base compensation only and is intended to provide flexibility for candidates with varying levels of experience, expertise and demonstrated impact. Final compensation will be determined based on factors including skills, experience, location,and overall alignment with the role.

In addition to base salary, eligible employees may receive:

• Equity participation in the company's long-term success
• Comprehensive benefits package including medical, dental and vision coverage
• Retirement savings benefits
• Generous paid time off and company holidays
• Remote-first work environment
• Fully funded company offsites and team gatherings
• Professional development and learning opportunities
• Home office support and remote work resources

We believe compensation should grow alongside impact. Our salary ranges are intentionally designed to provide room for career progression, increased scope of responsibility and continued growth within Foundation EGI.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.