
Staff Machine Learning R&D Engineer
- Sunnyvale, CA
- Permanent
- Full-time
- Conduct cutting-edge research in machine learning, computer vision, and 3D data processing to develop novel algorithms and models for spatial understanding and digital twin creation.
- Design, implement, and optimize robust and scalable ML systems and pipelines for processing large-scale 3D datasets, including point clouds, meshes, and images.
- Translate research prototypes into production-ready solutions, collaborating closely with engineering teams to integrate ML models into Matterport's core platform.
- Evaluate and benchmark model performance, identify areas for improvement, and drive iterative enhancements to our ML capabilities.
- Stay up-to-date with the latest advancements in ML research and industry trends, and proactively identify opportunities to apply new techniques to Matterport's challenges.
- Collaborate with cross-functional teams including product managers, software engineers, and other researchers to define project requirements, explore technical feasibility, and deliver high-impact features.
- Present research findings and technical solutions to internal teams and potentially the broader ML community.
- Contribute to the architectural design and strategic roadmap of Matterport's ML systems and research initiatives.
- Contribute to the intellectual property of Matterport through patents and publications.
- Bachelor's Degree
- 3+ years of experience in machine learning research and development, with a strong focus on computer vision, 3D data processing, or related areas.
- Proficiency in Pytorch and strong programming skills in Python.
- Solid understanding of machine learning fundamentals, including deep learning architectures (e.g., CNNs, Transformers), 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.
- Ph.D. or Masters Degree in Computer Science, Machine Learning, Robotics, Computer Vision, or a related quantitative field.
- 5+ years of industry experience in applied machine learning research and development, particularly with shipping models to production.
- Demonstrated expertise in one or more of the following areas: 3D computer vision (e.g., SLAM, NeRFs, 3D reconstruction, point cloud processing, mesh processing), generative models, 2D/3D semantic understanding, depth estimation, neural rendering.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices.
- Strong track record of publications in top-tier conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML) or significant contributions to open-source projects.
- Experience mentoring junior engineers or leading technical projects.
- Excellent communication skills, both written and verbal, with the ability to articulate complex technical concepts to a diverse audience.
- 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 Culture Employee Resource Groups