Computer Vision and Machine Learning Engineer Full-time

Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free AR/MR, and push the future of computing platforms. We are a team of world-class experts dedicated to AR/VR research, computer vision, and machine learning. We are committed to driving the state-of-the-art forward through relentless innovation. AR and VR potential to change the world is immense — and we’re just getting started. The XRTech team explores, develops, and delivers new cutting-edge technologies that serve as the foundation of current and future Reality Labs products. From mixed reality and human interaction to natural input and beyond, XRTech is focused on taking new technologies from early concept to the product level while iterating, prototyping, and realizing the human value and new experiences they open up. The 3D mapping team’s mission is to develop cutting-edge core technologies for 3D mapping and contextual understanding for metaverse digital twins. Our team is building large-scale persistent maps for AR and VR products at Meta. The precise geometric representation of the environment enables rich and consistent AR and VR experiences. We covers three pillars of work: cloud mapping pipeline and platform serving various use cases core mapping algorithm development including conventional and machine lenaring-based Structure-from-motion (Structure-from-Motion), VIO & SLAM Large-scale mapping and maps management.

Computer Vision and Machine Learning Engineer Responsibilities

• Computer Vision, or machine learning state estimation expert who would lead algorithm development for mapping.
• Develop state-of-the-art software solutions for high quality 3D maps.
• Collaborate with partner teams on sensor calibration, map quality assessment, and user experiences.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Expertise in computer vision, and machine learning domain knowledge in 3D mapping.
• Proven experience with C++ and/or Python, including experience with modern features.
• Understanding and experiences of 3D geometry, linear algebra, numerical optimization, statistics and probability
• Demonstrated experience working collaboratively in cross-functional teams
• Master’s degree in the following fields: Computer Science, Computer Vision, or Robotics or related

Preferred Qualifications

• Doctor of Philosophy (Ph.D.) in Computer Engineering, Computer Science, or Electrical Engineering
• Experienced in advanced geometric computer vision, computational imaging, large scale numerical optimization, state estimation, and sensor fusion.
• Experience working in a Linux environment
• Broad understanding of the full machine vision pipeline from sensors to high-level algorithms

For those who live in or expect to work from California if hired for this position, please click here for additional information.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

$85.10/hour to $251,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity

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