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3D Machine Learning Jobs (NOW HIRING)

... 3D, and anything we could think of. Information retrieval is a critical part of this offering ... Good understanding of machine learning, deep learning, or data analytics concepts. * Excellent ...

... 3D, and anything we could think of. Information retrieval is a critical part of this offering ... Good understanding of machine learning, deep learning, or data analytics concepts. * Excellent ...

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3D Machine Learning information

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$25.5K

$42.6K

$88K

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

As of Aug 6, 2026, the average yearly pay for 3d machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 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.

More about 3D Machine Learning jobs
What cities are hiring for 3D Machine Learning jobs? Cities with the most 3D Machine Learning job openings:
What states have the most 3D Machine Learning jobs? States with the most job openings for 3D Machine Learning jobs include:
Infographic showing various 3D Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Matterport - Senior Machine Learning/Computer Vision Engineer - 3D Reconstruction and Semantic Un...

CoStar

Sunnyvale, CA

$143K - $189K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago


CoStar Group rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

49th of 201 rated real estate companies


Job description

Matterport - Senior Machine Learning/Computer Vision Engineer - 3D Reconstruction and Semantic Understanding
Job Description
Company Overview: CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index, CoStar Group is on a mission to digitize the world's real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We've continually refined, transformed, and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate. About Matterport Matterport is leading the digital transformation of the built world. Our groundbreaking spatial computing platform turns buildings into data, making every space more valuable and accessible. Millions of buildings in more than 170 countries have been transformed into immersive Matterport digital twins to improve every part of the building lifecycle - from planning, construction, and operations to documentation, appraisal, and marketing. About the Role As a Senior Machine Learning/Computer Vision Engineer on our Vision & Learning team, you will drive the research, design, and production deployment of state-of-the-art machine learning and computer vision systems at the core of our spatial capture and reconstruction platform. You will be a key contributor across the full vision pipeline - from intelligent capture guidance to 3D reconstruction and asset delivery - ensuring the highest possible quality of the digital twins our users create. You will work at the intersection of applied research and engineering, tackling hard problems in camera pose estimation, 3D scene reconstruction, semantic understanding, and visual perception. Your work will directly shape both the capture experience we provide to users and the quality of the assets we deliver to customers. This role is located in our Sunnyvale, CA office and has a schedule of 4 days on-site and 1 day remote. What You Will Do Research, develop, and improve camera pose estimation algorithms to enable accurate, robust localization and spatial understanding across diverse capture scenarios. Advance mesh generation, surface reconstruction, and texturing pipelines to produce high-fidelity, production-ready 3D assets at scale. Design and implement intelligent systems that leverage semantic scene understanding to guide and optimize the capture process in real time, improving both user experience and output quality. Apply deep learning and foundation model techniques across the vision pipeline - including segmentation, depth estimation, multi-view geometry, and appearance modeling - to improve robustness and generalization. Collaborate with hardware, software, and product teams to identify and address failure modes across the end-to-end pipeline through data-driven analysis and targeted model improvements. Contribute to the full ML lifecycle: data collection strategy, model training, evaluation frameworks, production deployment, and ongoing monitoring. Research and prototype novel computer vision and machine learning techniques to advance the quality, speed, and robustness of our 3D reconstruction and capture systems. Stay current with the latest advances in computer vision, neural rendering, and 3D ML; evaluate and integrate relevant research into production systems. Write high-quality, well-tested, and maintainable Python and C++ code. Basic Qualifications Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, or a related quantitative field, or equivalent practical experience from an accredited, not-for-profit, in-person University or College A proven track record of commitment to prior employers. 3+ years of hands-on experience in machine learning and computer vision. Strong programming skills in Python and C++. Deep understanding of computer vision fundamentals including 3D geometry, multi-view reconstruction, and image formation. Experience with deep learning frameworks (e.g., PyTorch, JAX) and computer vision libraries (e.g., OpenCV). Experience with version control systems (e.g., Git) and agile development methodologies. Excellent problem-solving skills and a strong ability to debug complex, multi-component systems. Strong verbal and written communication skills. Preferred Qualifications Master's or Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field. 5+ years of industry experience developing and deploying computer vision or ML systems in production environments. Experience with camera pose estimation, visual odometry, SLAM, or structure-from-motion pipelines. Background in 3D reconstruction, NeRF, Gaussian Splatting, mesh processing, or related neural rendering methods. Experience applying semantic understanding, scene segmentation, or multi-modal learning to real-world capture or reconstruction pipelines. Familiarity with differentiable rendering, UV mapping, texture generation, or appearance modeling. Experience with performance optimization on GPUs (CUDA) or other hardware accelerators. Demonstrated ability to translate cutting-edge research into practical, robust, and scalable software solutions. What's in it for you? When you join CoStar Group, you'll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed. We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training and tuition reimbursement. Our benefits package includes (but is not limited to): Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug Life, legal, and supplementary insurance Virtual and in person mental health counseling services for individuals and family Commuter and parking benefits 401(K) retirement plan with matching contributions Employee stock purchase plan Paid time off Tuition reimbursement On-site fitness center and/or reimbursed fitness center membership costs (location dependent) Access to CoStar Group's Employee Resource Groups Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snack This position offersa base salary range from $190,000 to $253,000 a year, determined by relevant skills and experience, and a generous benefits plan. #Matterport #LI-VP1 CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing
CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

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