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3D Machine Learning Jobs in Massachusetts (NOW HIRING)

Autodesk

Machine Learning Engineering Manager

Boston, MA · On-site

$148K - $266K/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

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

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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 Massachusetts? For 3D Machine Learning jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching 3D Machine Learning jobs in Massachusetts look for? The top searched job categories for 3D Machine Learning jobs in Massachusetts are:
What cities in Massachusetts are hiring for 3D Machine Learning jobs? Cities in Massachusetts with the most 3D Machine Learning job openings:
3D Machine Learning jobs near you

Junior Machine Learning Researcher

Straumann

Andover, MA • On-site, Remote

Full-time

Posted 6 days ago

Straumann rating

7.0

Company rating: 7.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

289th of 418 rated machine equipment manufacturers

Job description


Machine Learning Researcher

POSITION OVERVIEW

The Machine Learning Researcher is responsible for the development, evaluation, and optimization of machine learning and deep learning algorithms that support innovative digital dentistry solutions. This role focuses on advancing artificial intelligence capabilities through research, model development, and collaboration with cross-functional teams to translate cutting-edge technologies into high-impact product features.

Working closely with software engineers, data engineers, product teams, and clinical experts, the Machine Learning Researcher contributes to the full machine learning lifecycle, including data preparation, model training, validation, deployment support, and intellectual property development.

KEY RESPONSIBILITIES

Machine Learning Research & Development

  • Define machine learning and data science requirements for new product features and capabilities.
  • Design, train, validate, and optimize machine learning models, with a focus on deep neural networks and computer vision applications.
  • Develop algorithms utilizing dental imaging data, including 2D and 3D radiographic images, CBCT scans, and intraoral optical scans.
  • Evaluate and improve existing machine learning models using state-of-the-art methodologies and published research.
  • Establish appropriate performance metrics, validation strategies, and error analysis approaches to ensure robust model performance.
  • Design and implement efficient algorithms and data structures for model training and inference.

Data & Engineering Collaboration

  • Collaborate with software engineers and data engineers to improve data pipelines, data management processes, and model deployment workflows.
  • Define data requirements for training, validation, and performance evaluation.
  • Develop data preprocessing and postprocessing pipelines aligned with product and feature requirements.
  • Support the integration of machine learning solutions into commercial software products.

Innovation & Intellectual Property

  • Monitor advancements in machine learning, deep learning, computer vision, and related research domains.
  • Assess emerging technologies and recommend opportunities for application within product development.
  • Contribute to intellectual property generation, including invention disclosures, patent applications, and technical documentation.
  • Collaborate with legal and intellectual property teams to support patent prosecution and maintenance activities.

Quality & Compliance

  • Ensure development activities align with applicable quality management systems and medical device regulations.
  • Support documentation and validation activities required for regulated software products.

REQUIRED QUALIFICATIONS

  • Bachelor's or master's degree in computer science, Data Science, Mathematics, Statistics, Engineering, or a related STEM discipline.
  • Strong understanding of machine learning, deep learning, statistics, and applied mathematics.
  • Minimum of 3 years of experience developing machine learning solutions, preferably within a regulated medical device, healthcare, or life sciences environment.
  • Proficiency in Python and machine learning development workflows.
  • Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Experience with software development and best practices, including source control systems (e.g., Git).
  • Strong analytical and problem-solving skills with the ability to independently investigate complex technical challenges.
  • Demonstrated ability to learn new technologies quickly and contribute effectively within cross-functional teams.
  • Excellent written and verbal communication skills.

PREFERRED QUALIFICATIONS

  • Master's degree or PhD with a specialization in Machine Learning, Artificial Intelligence, Computer Vision, or a related field.
  • Experience working with medical imaging, computer vision, or image segmentation technologies.
  • Experience with 3D image analysis and deep learning techniques applied to healthcare datasets.
  • Familiarity with software development processes in regulated environments (e.g., ISO 13485, IEC 62304, FDA, MDR).
  • Publication records, patent contributions, or demonstrated research experience in machine learning-related fields.

COMPETENCIES

  • Scientific curiosity and innovation mindset.
  • Strong quantitative reasoning and statistical thinking.
  • Creative and practical problem-solving abilities.
  • Attention to detail and commitment to quality.
  • Self-motivated and capable of working independently.
  • Effective collaboration and stakeholder communication skills.
  • Continuous learning orientation.

WORKING CONDITIONS

  • Primarily remote position with occasional travel as required.
  • Collaboration with global cross-functional teams across multiple time zones.
  • Participation in research, product development, and innovation initiatives supporting digital dentistry solutions.

EDUCATION

Required:

  • Bachelor's degree in computer science, Mathematics, Statistics, Engineering, Data Science, or a related STEM discipline.

Preferred:

  • Master's degree or PhD with a concentration in Machine Learning, Artificial Intelligence, Computer Vision, or Data Science.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.

Employment Type:Full Time

Alternative Locations:United States : Andover (MA)

TravelPercentage:0 - 10%

Requisition ID: 21283

Employment Type: FULL_TIME

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