Senior Machine Learning R&D Engineer – Matterport
CoStar Group2 months ago
Base Salary
$270k - $307k/yr
Responsibilities
- Research, design, and train large-scale foundational models for 3D reconstruction and generative scene completion using Matterport’s proprietary spatial data.
- Advance neural rendering and novel view synthesis techniques for indoor and outdoor spaces.
- Develop diffusion-based, video-generation, and 3D-generation approaches to complete occluded regions, synthesize unseen viewpoints, and improve digital-twin realism.
- Design, implement, and optimize scalable training and inference pipelines for large multi-view datasets containing images, video, point clouds, and meshes.
- Translate research prototypes into production-ready systems integrated with Matterport’s capture and reconstruction platform.
- Define evaluation methodologies and benchmarks for reconstruction quality, view-synthesis fidelity, and generative plausibility.
- Collaborate with researchers, platform engineers, product managers, and software engineers to scope projects and deliver product capabilities.
- Contribute to the architecture and roadmap of Matterport’s foundational reconstruction model and broader ML research initiatives.
- Contribute to patents and publications and represent the work to the research community.
Requirements
- Bachelor’s degree from an accredited, not-for-profit, in-person university or college.
- Experience in machine learning research and development focused on computer vision, 3D data processing, neural rendering, or generative modeling.
- Proficiency in PyTorch and strong programming skills in Python.
- Understanding of deep learning architectures, optimization techniques, and evaluation methodologies.
- Experience with NumPy and Pandas for data manipulation and analysis.
- Ability to conduct independent research, propose novel solutions, and implement them effectively.
- Strong problem-solving, verbal communication, and written communication skills.
- Preferred: Ph.D. or master’s degree in computer science, computer vision, machine learning, graphics, robotics, or a related quantitative field.
- Preferred: 5+ years of industry experience in applied ML research and development, especially training and shipping large models to production.
- Preferred: expertise in foundation or large-scale models and depth in neural rendering, generative modeling, or 3D computer vision.
- Preferred: experience with distributed or multi-GPU training, large-dataset curation, model-training infrastructure, and scaling large models and datasets.
- Preferred: publications at top-tier venues or significant open-source contributions.
- Preferred: experience mentoring junior engineers or leading technical projects and communicating complex technical concepts to diverse audiences.
Benefits
- Generous compensation and performance-based incentives.
- Internal training and tuition reimbursement.
- Medical, vision, dental, prescription drug, life, legal, and supplementary insurance.
- Virtual and in-person mental health counseling for individuals and families.
- Commuter and parking benefits.
- 401(k) retirement plan with matching contributions.
- Employee stock purchase plan and paid time off.
- Onsite fitness center and/or reimbursed fitness center membership costs, depending on location.
- Access to Employee Resource Groups.
- Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks.
- The posting lists annual base compensation of $270,000-$307,000; geographic location, skills, and competencies affect the final offer.
Categories
AI ResearchML Engineering
About CoStar Group
CoStar Group builds subscription databases, analytics, and online marketplaces for commercial and residential real estate professionals, investors, and advertisers. Its portfolio includes CoStar (research and data), LoopNet (commercial listings), and Apartments.com (rental listings), generating revenue from subscriptions, listings, and advertising. The company is publicly traded on NASDAQ (CSGP) and is headquartered in Arlington, Virginia, with inclusion in the S&P 500 index.