Meta AR/VR Job | Research Scientist Intern, ML Fine-tuning (PhD) | Quest
Job（岗位）: Research Scientist Intern, ML Fine-tuning (PhD) | Quest
Type（岗位类型）: Computer Vision +4 more
Citys（岗位城市）: Redmond, WA
Date（发布日期）: 2024-10-4
Summary（岗位介绍）
Meta Reality Labs is looking for exceptional interns to help create the next generation of eye tracking for 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 AR/VR.
We are seeking candidates with a background in machine learning, computer vision, and 3D reconstruction to help us develop eye tracking algorithms for next generation VR and AR systems. The preferred candidate will have expertise in personalizing machine learning models for peak performance on challenging data. We welcome students with a passion for working in a strongly collaborative team that spans research across algorithms, hardware design and systems prototyping.
Our team at Meta Reality Labs offers sixteen (16) to twenty four (24) week long internships and we have various start dates throughout the year.
Qualifications（岗位要求）
Currently has, or is in the process of obtaining, a PhD degree in the field of Computer Science, Applied Math, Physics or a related STEM field
High levels of creativity and quick problem solving capabilities
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 implementing machine learning algorithms with Python and Pytorch
2+ years of research experience or equivalent graduate research experience in 3D computer vision and Machine Learning
Description（岗位职责）
Fundamental analysis and understanding of computer vision, machine learning and 3D reconstruction
Fine-tuning and evaluation of personalized machine learning regression models to improve eye tracking performance on the most challenging cases
Design and execute experiments to explore fundamental limitations of personalized models
Collaborate with researchers and engineers across diverse disciplines
Communication of research agenda, progress and results
Additional Requirements（额外要求）
Experience developing and improving ML models through fine-tuning or transfer learning, especially unsupervised or weakly supervised learning
Demonstrated experience managing high-dimensional data through dimensionality reduction methods, including PCA and LDA, for enhanced data interpretation
Demonstrated software engineering 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 and machine learning related conferences such as CVPR, ICCV, ECCV, ICLR, ICML, NeurIPS, etc.
