At Facebook 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.
Work with researchers to develop input architectures that combine vision and language.
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.).
Currently has, or is in the process of obtaining, a PhD in Computer Vision or Machine learning
Experience in developing interactive solutions for computer vision, natural language processing, or computer graphics.
Experience working with PyTorch or TensorFlow.
Technical knowledge across a range of topics including machine learning, optimization, Bayesian statistics and state estimation.
Publications with the research focus Unsupervised Learning and segmentation of complex activities from videos and long range video understanding
Publications at computer vision conferences like ECCV, ICCV or IEEE
Research experience in 3D pose estimation, action recognition, end-to-end speech recognition, real-time statistical text decoding.
Experience with sequence modeling, domain adaptation or representation disentanglement.
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.
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).