[Remote] Research Scientist Intern, Eye Tracking and Health (PhD)
Note: The job is a remote job and is open to candidates in USA. Meta is a technology company focused on connecting people and building immersive experiences. They are seeking an intern to participate in cutting-edge research and development for eye tracking systems related to virtual and augmented reality, collaborating with researchers across various disciplines.
Responsibilities
- Participate in cutting-edge Computer Vision & Machine Learning research and development for VR/AR/MR related topics
- Collaborate with and support other researchers across various disciplines
- Design and implement robust algorithms for multimodal eye-tracking systems
- Communicate research agenda, progress and results
- Publish research results in top-tier journals and at leading international conferences
- Document and present research progress and aim to publish findings at high-impact CV/ML conferences
Skills
- Currently has, or is in the process of obtaining, a PhD in Computer Science, Computer Vision, Machine Learning, or related field
- Knowledge in CV/ML, in one or more of the following domains: 3D computer vision, object detection and tracking, image/volume processing, optimization, calibration, 3D tracking, 3D pose estimation
- 2+ years of experience with Machine Learning for solving computer vision and/or computer graphics problems
- Experience with deep learning frameworks such as Pytorch and TensorBoard
- Experience with scientific programming languages such as Python
- Excellent interpersonal skills, cross-group and cross-culture collaboration
- Ability to communicate complex research in a clear, precise, and actionable manner
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
- Proven track record of achieving significant results as demonstrated by publications in top CV/ML conferences (e.g., CVPR, ICCV, ECCV, ICML etc.) or journals
- Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
- Experiences working on high volume image data processing or synthesis
- Hands-on experience working with head mounted devices (such as Aria or Quest Pro) to collect, and analyze data to validate hypotheses
- Experience of working with multimodal biosensor data
- Intent to return to a degree-program after the completion of the internship
Benefits
- Benefits
Company Overview