Applied Research Scientist, AI for Project Aria (PhD)

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 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.Applied Research Scientist, AI for Project Aria (PhD) Responsibilities

• Develop novel algorithms and models for 3D machine perception in real-world environments.
• Design and implement experiments to evaluate the performance of ML systems on large-scale datasets.
• Collaborate with cross-functional teams, including hardware and software engineers, to integrate novel research into the Aria platform.
• Stay up-to-date with the latest research in 3D computer vision and machine learning, and apply this knowledge to improve the performance of the Aria platform.
• Communicate research findings through publications, presentations, and other channels.

Minimum Qualifications

• 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.
• Currently has or is in the process of obtaining a PhD in the field of Computer Science, Computer Vision, Machine Learning, Computational Imaging, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.
• Experience in Python and/or C++.
• Experience with ML frameworks such as TensorFlow, PyTorch, or Keras.
• 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 with large-scale dataset management and processing.
• Research experience in Computer Vision, Machine Learning, Large Language Model, Multi-Modal Machine Perception.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications

• Track record of published research in the fields of Object Tracking/Detection/Segmentation or 3D semantic scene understanding.
• Knowledge and hands-on experience working on computer vision and machine learning.
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as CVPR, NeurIPS, ECCV, ICCV, ICML, ICLR or similar.
• Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
• Experience solving complex problems and comparing alternative solutions and tradeoffs to determine a path forward.
• Experience working and communicating cross functionally in a team environment.

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.
US$117,000/year to US$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, 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 Meta is proud to be an Equal Employment Opportunity 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.
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, fill out the Accommodations request form.