The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of AR and VR. The Surreal Vision group at RL Research is seeking exceptional Research Scientists to research and help build the egocentric machine perception functionalities and digital twins of 3D scenes that will underpin future VR and contextual-AI-enabled AR devices. The research intern will work on cutting edge research problems to innovate novel computer vision and machine learning techniques.

Work with researchers to help enable their work across the following research disciplines:

• Research novel object/scene reconstruction method to recover the physical properties or functionality of real-world objects/environments with egocentric machine perception. Build up the related dataset for physical scene understanding.
• Egocentric human states estimation and motion understanding with multimodal data.
• Egocentric 3D reconstruction and 3D scene understanding (3D segmentation, and 3D bounding box detection) of static and dynamic scenes.

Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year. Some projects may require a minimum of 24 consecutive weeks.

Research Scientist Intern, 3D Machine Perception and Sensor Fusion (PhD) Responsibilities:

• Plan and execute cutting-edge research and development to advance the state-of-the-art in machine perception, state estimation, reconstruction of 3D objects and scenes.
• Collaborate with other researchers and engineers across machine perception teams at Meta to develop experiments, prototypes, and concepts that advance the state-of-the-art in AR/VR and AI systems.
• Work with the team to help design, setup, and run practical experiments and prototype systems related to large-scale high quality sensing and machine reasoning.

Minimum Qualifications:

• Currently has, or is in the process of obtaining a PhD degree in the domain of computer-vision, 3D machine perception or machine learning, multimodal sensor fusion
• Knowledge and hands-on experience working with 3D and projective geometry, in addition to image-space computer vision
• Hands-on experience implementing 3D computer vision algorithms as well as end-to-end training of ML models from data collection and design to evaluation
• Experience working within Python environments such as pytorch
• Experience working in a Unix environment
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

• 24 week internship availability
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV,, ICLR and NeurIPS, RSS, IROS
• Track-record of published research in the fields of object reconstruction and tracking, generative modeling, multimodal sensor fusion (learned or traditional), large scale scene reconstruction and understanding
• Programming experience using python and pytorch. Basic experience with c++ codebase
• Experience with non visual sensors for location estimation and scene understanding : inertial, GPS, magnetometer, microphones, etc
• Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
• Intent to return to a degree-program after the completion of the internship
• Experience working and communicating cross functionally in a team environment

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 Whats App 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 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, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

$7,650/month to $12,134/month + 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.