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.Research Scientist - Input and Action Recognition Responsibilities
- 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).
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