Research Scientist Intern – Eye Tracking Applications Research (PhD)

Employer

Job Description

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

Facebook Reality Labs (FRL) 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 eye 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. The ideal candidate is pursuing a PhD with a strong background in eye tracking and data analysis.

In particular, we seek candidates with expertise in the analysis and modelling of eye tracking in 3D environments to understand and predict human visual attention. 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 human perception, algorithms, hardware design and systems prototyping.

Our team at Facebook Reality Labs offers sixteen (16) to twenty-four (24) week long internships and we have various start dates throughout the year.

Responsibilities
  • Advance the state-of-the-art for eye movement prediction and perceptual control loops in real-world tasks and environments
  • Analyze large-scale temporal ego-motion data with multiple sensors to understand human-interaction in the real-world
  • Collaborate with researchers and engineers across diverse disciplines
  • Present regularly to large cross-functional teams and communicate progress
  • Engage the wider academic community to pursue research in this direction through publications and/or workshop/challenge/tutorial organization top-tier conferences
Minimum Qualification
  • Currently has, or is in the process of obtaining, a PhD degree in the field of Computer Science, Machine Learning, Computational Neuroscience, Experimental Psychology or a related STEM field
  • 3+ years of experience, including undergraduate and graduate research, working in eye tracking, psychophysics, computational modelling, or related areas
  • High levels of creativity and quick problem solving capabilities
  • Interpersonal skills: cross-group and cross-culture collaboration
  • Experience with programming or data analysis using Python, MATLAB, R, and/or similar relevant approaches
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualification
  • 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)
  • Intent to return to degree-program after the completion of the internship
  • Proven track record of achieving results as demonstrated in accepted papers at top computer vision, machine learning, neuroscience, psychology, or HCI related conferences (such as CVPR, IEEEVR, NeurIPS, CHI, etc.) or journals
Facebook is proud to be an Equal 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. Facebook 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.