Our team aids in the creation of Meta products used by billions of people around the world. Are you interested in driving new camera innovation in Reality Labs devices? Would you like to pioneer the next frontier of computing platforms with our Smart Glasses and AI-first consumer devices while improving existing products like Messenger, Video, Groups, News Feed, Search, AR/VR, GenAI, and more? Are you passionate about solving unique, large scale, highly complex technical problems? If so, this position might be for you!We are seeking self-motivated Machine Learning Camera Algorithm Engineers to join our team. Our engineers bring together world-class software/hardware to deliver cutting-edge camera user experiences by developing groundbreaking algorithms across our entire AR, VR, and MR product portfolios.We are seeking self-motivated Machine Learning Camera Algorithm Engineers to join our team. Our engineers bring together world-class software/hardware and system engineers to deliver cutting-edge camera user experiences by developing groundbreaking algorithms across our entire AR, VR, and MR product portfolios.

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 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).

• Involvement 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.