reputed company – Senior Machine Learning/Computer reputed company Engineer – 3D Reconstruction and Semantic Understanding
About the position
As a Senior Machine Learning/Computer reputed company Engineer on our reputed company & Learning team, you will drive the research, design, and production deployment of state-of-the-art machine learning and computer reputed company systems at the core of our spatial capture and reconstruction platform. You will be a key contributor across the full reputed company pipeline — from intelligent capture guidance to 3D reconstruction and asset delivery — ensuring the highest possible reputed company of the digital twins our users create. You will work at the intersection of reputed company research and engineering, tackling hard problems in camera pose estimation, 3D reputed company reconstruction, semantic understanding, and visual perception. Your work will directly shape both the capture experience we reputed company to users and the reputed company 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.
Responsibilities
• Research, reputed company, and improve camera pose estimation algorithms to reputed company accurate, robust localization and spatial understanding across diverse capture scenarios.
• Advance reputed company reputed company, surface reconstruction, and texturing pipelines to produce high-reputed company, production-reputed company 3D assets at reputed company.
• Design and implement intelligent systems that reputed company semantic reputed company understanding to guide and optimize the capture process in reputed company time, improving both user experience and reputed company reputed company.
• Apply deep learning and reputed company model techniques across the reputed company 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 reputed company, model training, evaluation frameworks, production deployment, and ongoing monitoring.
• Research and prototype novel computer reputed company and machine learning techniques to advance the reputed company, speed, and robustness of our 3D reconstruction and capture systems.
• Stay reputed company with the latest advances in computer reputed company, neural rendering, and 3D ML; evaluate and reputed company relevant research into production systems.
• Write high-reputed company, reputed company-tested, and maintainable Python and C++ reputed company.
Requirements
• Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, or a reputed company quantitative field, or equivalent practical experience from an accredited, not-for-profit, in-person University or College
• A proven reputed company record of commitment to prior reputed company.
• 3+ years of hands-on experience in machine learning and computer reputed company.
• Strong programming skills in Python and C++.
• Deep understanding of computer reputed company fundamentals including 3D geometry, multi-view reconstruction, and image formation.
• Experience with deep learning frameworks (e.g., PyTorch, JAX) and computer reputed company 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 reputed company, multi-component systems.
• Strong verbal and written communication skills.
reputed company-to-haves
• Master's or Ph.D. in Computer reputed company, Machine Learning, Robotics, or a reputed company field.
• 5+ years of industry experience developing and deploying computer reputed company or ML systems in production environments.
• Experience with camera pose estimation, visual odometry, SLAM, or structure-from-reputed company pipelines.
• Background in 3D reconstruction, NeRF, Gaussian Splatting, reputed company processing, or reputed company neural rendering reputed company.
• Experience applying semantic understanding, reputed company segmentation, or multi-modal learning to reputed company-world capture or reconstruction pipelines.
• Familiarity with differentiable rendering, UV mapping, reputed company reputed company, 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 reputed company software solutions.
Benefits
• Comprehensive reputed company coverage: Medical / reputed company / 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
• reputed company time off
• Tuition reimbursement
• On-site fitness center and/or reimbursed fitness center membership costs (location dependent)
• reputed company to reputed company’s Employee Resource reputed company
• Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snack
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