Meta's Reality Labs Research (RL-R) brings together a world-class team of researchers, developers, and engineers to create the future of augmented and virtual reality (AR/VR). The eye tracking team within RL-R is working on research to enable eye tracking for everyone everywhere, which is key to enabling many groundbreaking experiences.In this role, you will join a team to collaborate with research scientists, electrical engineers, mechanical engineers, and user experience designers. You will learn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR/VR problem solving. You will focus on applying machine learning and computer vision to eye tracking and perception problems, developing technologies that will power future AR/VR devices.Together, we are going to build cutting-edge prototypes, technologies, and toolsets that can define a paradigm shift in how we interact with our surroundings. We invite you to step into the adventure of a lifetime, as we make science fiction real and change the world.
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Research Scientist, Computer Vision and Machine Learning (PhD) Responsibilities:
- Design, implement, and evaluate machine learning and computer vision-based eye tracking models and systems.
- Work with software engineers, research scientists, electrical engineers, and mechanical engineers to incorporate eye tracking models with demos, data collection systems, and other eye tracking systems.
- Create tools, infrastructure, and documentation to accelerate research.
- Collaborate with other research and engineering teams to identify gaps, build solutions, and transfer technology.
- Perform code reviews that improve software engineering quality.
- Learn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR/VR problem solving.
- 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 Science, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
- Experience with Python.
- Experience with a common machine learning framework (ex. PyTorch).
- Experience with ML computer vision.
- Experience evaluating and improving the performance (speed, power consumption) of ML systems.
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
- Experience with C++.
- Experience with non-ML computer vision, especially with OpenCV.
- Experience working in AR/VR.
- Experience developing software in a research environment.
- Familiarity with optics, lasers, and sensors.
- 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.
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
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.
$56.25/hour to $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.