Research Engineer - Computer Vision & Machine Learning

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Research Engineer - Computer Vision & Machine Learning
Meta black iconMeta Quest
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Welcome to the Surreal team in Reality Labs Research! Our team is dedicated to advancing the state-of-the-art in computer vision, machine perception, machine learning, and artificial intelligence. We are a diverse group of researchers, engineers, and technologists who work together to develop cutting-edge technology that pushes the boundaries of what is possible. One of our flagship projects is the Aria device, which is a wearable device that enables us to collect data about the world around us. With Aria, we can gather information about the environment, people, and objects, and use this data to develop new algorithms and models for machine perception and advance artificial intelligence research. As a member of our team, you will have the opportunity to work on exciting projects that have the potential to make a real impact on the world. Whether you are interested in developing new algorithms for object recognition, creating novel approaches to scene understanding, or exploring the intersection of machine learning and robotics, there is something here for everyone. We are looking for talented individuals who are passionate about computer vision, machine perception, machine learning, and artificial intelligence. If you are excited about the prospect of working on cutting-edge technology and making a difference in the world, then we encourage you to apply to join our team.
Research Engineer - Computer Vision & Machine Learning Responsibilities
  • Develop creative computer vision and tracking software supporting Meta AR and VR research
  • Plan and execute cutting-edge research to advance machine perception technology and user context understanding
  • Develop novel real-time 3D scene understanding techniques
  • Research and prototype techniques and algorithms for 2D/3D object detection and recognition
  • Develop robust software for integrating multiple sensors and scene understanding systems
  • Develop human-in-the-loop data annotation tools and systems
Minimum Qualifications
  • Currently has or is in the process of obtaining a PhD degree or postdoctoral assignment in the field of Computer Vision, Machine Learning, Computer Graphics, Robotics or similar
  • 3+ years experience with computer vision – specifically 2D/3D scene understanding
  • 2+ years of experience engineering in C++ or Python
  • 2+ Experience with computer vision/machine learning libraries such as OpenCV / Torch
  • Knowledge in image analysis, machine learning, information theory, and 3D geometry
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
Preferred Qualifications
  • Strong understanding of computer vision and 3D geometry concepts, with experience in developing and deploying computer vision applications.
  • Experiences in working with large-scale datasets through semi-supervision and self-supervision
  • 5+ years of experience in the field of 2D/3D scene understanding with CV/ML in production
  • Professional industry experience in the field of Computer Vision, Machine Learning, Computer Graphics, Robotics or similar
  • Publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, etc.
  • Experience with annotation tooling and techniques for labeling and annotating data, including bounding boxes, keypoints, and semantic segmentation.
Locations
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.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
$117,000/year to $173,000/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 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.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com.