Meta Reality Labs Research is looking for upcoming scientists and researchers with great interest in designing, modeling, and prototyping advanced vision systems for real-time, low-power, always-on processing. The goal of this role is to optimize the full-stack vision system spanning from the image sensor, device processors, cloud computation, and corresponding algorithms. Ideal candidates will have a comprehensive understanding of computational imaging, distributed computation, computer vision, and machine learning algorithms.

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

Research Scientist Intern, Computational Photography & Computer Vision (PhD) Responsibilities:

• Support research activities focused on computational photography, end-to-end camera system optimization, and low-level vision tasks
• Participate in the development of proof of concept and prototype visual sensing systems
• Interact with cross-functional engineering teams to demonstrate novel imaging systems and camera hardware

Minimum Qualifications:

• Currently has, or is in the process of obtaining a PhD in the fields of Computer Science, Electrical Engineering, Machine Learning, Computer Architecture, or related field
• 2+ years of coding experience with programming languages such as Python/Pytorch
• Advanced experience with computer vision (CV) and modern deep learning research, including algorithm development and optimization
• Demonstrated understanding and hands-on experience with computational imaging including but not limited to: image denoising, HDR imaging, super-resolution, deblurring, frame interpolation, etc
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications:

• Experience with lightweight machine learning on embedded systems, including model optimization and deployment
• Experience with the full machine vision pipeline spanning cameras, ISPs, and high-level algorithms
• Proven track record of achieving significant results in CV and ML research, as demonstrated by publications, grants, or fellowships
• Intent to return to degree-program after the completion of the internship/co-op

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@meta.com.

$7,313/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.