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Sunnyvale, CA, US
Live, first seen by us 76 days agoThe final salary or hourly rate offered for this role will fall within the range set forth below based on a variety of factors, including but not limited to, geographic location, skills, and competencies. Base Compensation: $270,000 - $307,000 (Annually) #MatterportRead the full posting
Employment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Matterport has captured one of the largest and most diverse repositories of real-world 3D spatial data in existence.
As a Senior Machine Learning R&D Engineer on this team, you will research and build the next generation of neural reconstruction and generative systems that power Matterport's digital twins.
Design and train large-scale foundational models for 3D reconstruction and scene completion
Advance neural rendering and novel view synthesis for real-world spaces
Build diffusion and video/3D generative methods to fill occlusions and unseen views
Turn research prototypes into production systems with engineering teams
Define evaluation benchmarks for reconstruction quality and generative plausibility
Matterport has captured one of the largest and most diverse repositories of real-world 3D spatial data in existence. We are building a team to turn that data into a foundational reconstruction model — a model that can reconstruct, complete, understand, and generate photorealistic 3D spaces from sparse, incomplete, or noisy captures.
As a Senior Machine Learning R&D Engineer on this team, you will research and build the next generation of neural reconstruction and generative systems that power Matterport's digital twins. Rather than reconstructing only what the camera saw, our goal is to generatively complete spaces — filling occlusions, synthesizing unseen views, upgrading capture fidelity, and ultimately generating entire coherent 3D environments. You will work at the intersection of neural rendering, novel view synthesis, and generative modeling, training large-scale models on Matterport's proprietary data to solve problems that no existing dataset or model can address.
Research, design, and train large-scale foundational models for 3D reconstruction and generative scene completion
Advance the state of the art in neural rendering (e.g., Gaussian splatting, NeRFs, feed-forward/large reconstruction models) and novel view synthesis for real-world indoor and outdoor spaces
Develop generative approaches — including diffusion models and video/3D generation — to complete occluded or missing regions, synthesize unobserved viewpoints
Translate research prototypes into production-ready systems, partnering with engineering teams to integrate models into Matterport's core capture and reconstruction platform.
Define rigorous evaluation methodologies and benchmarks for reconstruction quality, view synthesis fidelity, and generative plausibility
Basic Qualifications: * Bachelor's degree from an accredited, not-for-profit, in-person University or College * A track record of commitment to prior employers. * Experience in machine learning research and development, with a strong focus on computer vision, 3D data processing, neural rendering, or generative modeling. * Proficiency in PyTorch and strong programming skills in Python. * Solid understanding of machine learning fundamentals, including deep learning architectures (e.g., CNNs, Transformers, diffusion models), optimization techniques, and evaluation methodologies. * Experience with data manipulation and analysis libraries (e.g., NumPy, Pandas). * Demonstrated ability to conduct independent research, propose novel solutions, and implement them effectively. * Excellent problem-solving skills and the ability to work with complex, real-world datasets. * Strong verbal and written communication skills Preferred Qualifications:
Preferred Qualifications: * Ph.D. or Master's Degree in Computer Science, Computer Vision, Machine Learning, Graphics, Robotics, or a related quantitative field. * 5+ years of industry experience in applied ML research and development, particularly training and shipping large models to production. * Demonstrated expertise in building or training foundation / large-scale models and/or depth in two or more of the following: * Neural rendering & novel view synthesis — Gaussian splatting, NeRFs, large/feed-forward reconstruction models, differentiable rendering. * Generative modeling — diffusion models, image/video generation, 3D generation, world models. * 3D computer vision — 3D reconstruction, SLAM/structure-from-motion, multi-view geometry, point cloud and mesh processing, depth estimation. * Experience with large-scale model training infrastructure — distributed/multi-GPU training, large-dataset curation and pipelines, and scaling to large model and data sizes. * Strong track record of publications at top-tier venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, SIGGRAPH) or significant open-source contributions. * Ability to use AI tools to accelerate work. * Experience mentoring junior engineers or leading technical projects. * Ability to articulate complex technical concepts to a diverse audience.
Matterport is leading the digital transformation of the built world.
In the employer’s words · Read in context
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$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
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Basic Qualifications: * Bachelor's degree from an accredited, not-for-profit, in-person University or College * A track record of commitment to prior employers. * Experience in machine learning research and development, with a strong focus on computer vision, 3D data processing, neural rendering, or generative modeling. * Proficiency in PyTorch and strong programming skills in Python. * Solid understanding of machine learning fundamentals, including deep learning architectures (e.g., CNNs, Transformers, diffusion models), optimization techniques, and evaluation methodologies. * Experience with data manipulation and analysis libraries (e.g., NumPy, Pandas). * Demonstrated ability to conduct independent research, propose novel solutions, and implement them effectively. * Excellent problem-solving skills and the ability to work with complex, real-world datasets. * Strong verbal and written communication skills Preferred Qualifications:
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We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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The final salary or hourly rate offered for this role will fall within the range set forth below based on a variety of factors, including but not limited to, geographic location, skills, and competencies. Base Compensation: $270,000 - $307,000 (Annually) #Matterport
Sunnyvale, CA, US
Working pattern and location restrictions need checking in the full posting.
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