Meta AR/VR Job | AI Research Scientist Intern, Multimodal and Multitasking Machine Learning (PhD)
Job（岗位）: AI Research Scientist Intern, Multimodal and Multitasking Machine Learning (PhD)
Type（岗位类型）: Artificial Intelligence +2 more
Citys（岗位城市）: Redmond, WA +1 locations
Date（发布日期）: 2024-10-8
Summary（岗位介绍）
Meta Reality Labs Research is looking for upcoming scientists and researchers with great interest in algorithm/hardware co-design and acceleration of AI machine learning applications, efficient sensing, and ML algorithms for AR/VR applications. Our team specializes in developing state-of-the-art hardware optimized algorithms for machine perception. With the vision of always-on AI assistance, our team is focusing on cutting edge systems that can facilitate and bring AI assistants powered by LLMs to wearables systems. This internship will focus on aspects of foundational AI technologies around multitasking, multimodal understanding (audio, visual, spatial, etc), privacy, or others that support AI assistant functionalities.
Our internships are sixteen (16) to twenty-four (24) weeks long 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 in the fields of Computer Science, Electrical Engineering, or related field
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
2+ years research experience in one or more of the following: Developing machine learning and computer vision models, Optimization of edge computing algorithms, Distributed compute architectures
2+ years experience programming in Python/C++
Experience with Deep Learning frameworks (Pytorch, TensorFlow, etc)
Interpersonal skills: cross-group and cross-culture collaboration
Description（岗位职责）
Research on design / model / execution of efficient ML algorithms
Research on novel ML or computational imaging algorithms for applications and optimize existing algorithms
Research on development and optimization of edge computing algorithms (ML and non-ML)
Collaboration with and support of other researchers across various disciplines
Communication of research agenda, progress and results
Prototyping, building and characterizing experimental systems and custom hardware
Additional Requirements（额外要求）
Experience in multimodal ML algorithms (object detection, classification, tracking, keyword spotting, ASR, etc)
Experience in deploying ML algorithms to real-time with mobile platforms
Experience w/ NAS or developing and deploying algorithms with hardware constraints is a plus
Experience w/ pretraining using self-supervised learning is a plus
Experience w/ tuning LLM is a plus
Experience in privacy preserving ML algorithms
Proven track record of achieving significant results, as demonstrated by first- and/or co-authored publications at leading workshops or conference (e.g., CVPR, ICCV, TinyML, NeurIPS, ICML), patents, or grants
Intent to return to degree program after the completion of the internship.
