Deep Learning Engineer at RADiCAL
NYC, New York, United States
🇺🇸 (Posted Jul 17 2018)
About the company
RADiCAL is a software-only motion capture solution to support modern 3D content pipelines. RADiCAL's cloud-based AI, powered by Nvidia GPUs, delivers near-universal availability, seamless integration and speed — all at low cost
- Remote work possible
Location: US (NYC) / Europe / remote for the right candidate.
We are looking for a deep learning engineer to help develop the next generation of our AI-powered 3D motion capture pipeline. You will be designing and implementing a generative model and motion-aware temporal correlation model to produce beautiful, accurate and realistic 3D human motion. For the right candidate, this could be an opportunity to become a senior team member of a fast-growing, well-funded started-up. We value experience with architecting and developing deep neural networks, including a strong understanding of GANs. Experience in the human pose estimation field preferred. Understanding human motion in a biomechanics sense is a plus. You must be able to take a model from ideation through to parameter tuning.
Skills & requirements
Academic Qualifications: PhD or Masters degree in Computer Engineering or Computer Science
Skills: Experience with architecting and developing deep neural networks, very good understanding of GANs. Experience in the human pose estimation field preferred. Understanding human motion in a biomechanics sense is a plus. You must be able to take a model from ideation through to parameter tuning.
Software: Python and Tensorflow preferred
Experience: Industry work experience of six months or more is a plus. You must have completed at least one significant project.