Meta AR/VR Job | Research Scientist Intern, Eye Tracking Applications Research (PhD)
Type（岗位类型）: Computer Vision | Research
Citys（岗位城市）: 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 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 modeling 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 Reality Labs offers twelve (12) to sixteen (16) to twenty-four (24) week long internships and we have various start dates throughout the year.
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 modeling, or related areas
High levels of creativity and quick problem solving capabilities
Interpersonal skills: cross-group and cross-culture collaboration
2+ years experience with game engines, scientific programming languages or data analysis such as Unity, Unreal, 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
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
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