Address
Form of workWe work on all kinds of computer vision/photographic projects to make the cameras on AR/VR devices smarter. Topics including scene understanding, object detection/tracking, image restoration, and generative image creation. We take advantage of the close affinity with camera hardware team, invent new algorithms and create new user experiences to make Meta AR/VR devices more appealing.
- Involved in both software productizations and new technology innovations.
- Designing and training Machine Learning (ML) models.
- Optimizing ML solutions for on-device deployment.
- Fine tuning models for quality improvement and integration of ML models into product software stack.
Minimum Qualifications:
- Currently has, or is in the process of obtaining, a PhD degree in Computer Vision, Machine Learning, Computer Graphics, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
- Experience in Python or C++.
- Knowledge of model complexity and optimization.
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications:
- Experience with commercial software products.
- Experience with Generative AI based projects.
- Experience working and communicating cross-functionally in a team environment.
- 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, SIGGRAPH, or similar.
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
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 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.
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.
