Applied Research Scientist, AI Project Aria; PhD

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.

• Develop novel algorithms and models for 3D machine perception in real‑world environments.
• Design and implement experiments to evaluate the performance of 3D 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.

• 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.
• Experience in Python and/or C++.
• Experience with deep learning frameworks such as Tensor Flow, 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.
• 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.
• 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.

• Knowledge and hands‑on experience working with 3D and projective geometry, in addition to image‑space CV.
• Track record of published research in the fields of Object Tracking/Detection/Segmentation or 3D semantic scene understanding.
• 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 SIGGRAPH, CVPR, NeurIPS, ECCV, ICCV, ISMAR, ICML, 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. Git Hub).
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
• Experience working and communicating cross functionally in a team environment.

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‑

$117,000/year to $173,000/year + bonus + equity + benefits

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