Meta AR/VR Job | Applied Research Scientist, Computer Vision – Reality Labs
Type（岗位类型）: Artificial Intelligence
Citys（岗位城市）: Redmond, WA
At Meta Reality Labs, we’re developing the input technologies that will define the future of the virtual and augmented reality computing platforms. We are looking for a creative, skilled and motivated research scientist to join our machine perception team in advancing the state-of-the-art of human understanding, action recognition and statistical text decoding. You will work with research scientists, software engineers and hardware engineers to design technical solutions in a fast-paced multidisciplinary environment.
Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
5+ years of experience in researching and developing novel computer vision and machine learning algorithms and systems, and with 3+ years of industry experience performing cutting edge research and development in these domains.
Proven experience in designing data collection protocols and quality control, manifested in solid contributions in constructing high quality computer vision and machine learning datasets.
Experience innovating or extending research ideas for new problem domains or for fitting new constraints.
Proven development skills with 3+ years of experience working with PyTorch or TensorFlow.
Proven research experiences with sequence modeling, few shot learning, cross-modality learning, or foundational models, as illustrated in successful novel algorithms or systems that surpass then state-of-art methods.
Technical knowledge across a range of topics including machine learning, optimization, Bayesian statistics and state estimation.
Interpersonal experience: cross-group and cross-culture collaboration.
Work with researchers to develop novel input technologies for VR, MR and AR systems based on computer vision and machine learning.
Design and prototype interactive experiences and evaluate them through user research.
Design and prototype data collection systems to accelerate machine learning.
Collaborate and work across teams to develop concepts that advance the entire product pipeline (hardware, software, data collection, machine learning, etc.).
PhD in Computer Science or a related field.
Experience transferring technology from research in computer vision, machine perception or machine learning into a shipping product.
Experience with joint hardware-software development and associated rapid prototyping. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at top-tier conferences such as CVPR, ECCV/ICCV, SIGGRAPH, NeurIPS, ICLR, ACL or similar.
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).