Research Scientist Intern, Computer vision and Eye Tracking (PhD)

Research Scientist Intern, Computer vision and Eye Tracking (PhD)
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Redmond, WA
Meta Reality Labs (RL) Redmond is looking for exceptional interns to help create the next generation of virtual and augmented reality. Our research focuses on true solutions to complex tracking problems, delivering novel technologies and algorithms fundamental to future VR and AR systems. You’ll have the unique opportunity to work with industry-leading researchers and engineers who are defining the future of VR and AR. In particular, we welcome candidates who strive for a deep understanding of complex systems, and a strong desire to push beyond state-of-the-art. We also welcome students with a passion for working in a strongly collaborative team that spans research across algorithms, hardware design and systems prototyping. Our internships are twenty (20) to twenty four (24) weeks long and we have various start dates throughout the year. Our research topics include (but are not limited to) the following areas: * Geometric modeling & non-linear optimization for compact representation of high- dimensional functions * Object Detection/Segmentation * Temporal sequence learning for gaze estimation and prediction * Statistical machine learning for uncertainty analysis and prediction * Analysis of speckle patterns and understanding of optical laser-tissue interaction
Research Scientist Intern, Computer vision and Eye Tracking (PhD) Responsibilities
  • Research, model, design, and/or build novel optical measurement methods for eye tracking
  • Fundamental analysis and understanding of computer vision, machine learning and 3D reconstruction
  • Collaborate with researchers and engineers across diverse disciplines
  • Communication of research agenda, progress and results
  • Research, design, develop, and evaluate algorithms for video-based eye tracking. This involves creating innovative solutions to improve our eye tracking technology
  • Implement proof-of-concept software for machine vision and ML-based eye tracking. This includes writing code and testing the software to ensure it meets our standards
  • Implement data capture algorithms for proof-of-concept data acquisition from camera-based systems. This involves working with large datasets and ensuring the accuracy of the data captured
  • Develop scripts to process data and measure algorithmic and end-to-end performance. This includes analyzing the data and making improvements based on the results
Minimum Qualifications
  • Currently has, or is in the process of obtaining, a PhD degree in the field of Computer Science, Applied Mathematics, Physics or a related STEM field
  • High levels of creativity and quick problem solving capabilities
  • Must possess knowledge about the formation of coherent light speckle patterns
  • Interpersonal skills: cross-group and cross-culture collaboration
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
  • Experience with Python
Preferred Qualifications
  • Demonstrated data science or software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. Github)
  • Experience with C++
  • 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 SPIE, ETRA, OSA, Optica, IEEE, CVPR, ICCV, SIGGRAPH.
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 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
$7,500/month to $11,333/month + 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.
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