Summary: 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.

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.

Location: US (NYC) / Europe / remote for the right candidate.

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If you’re interested, please get in touch here:  careers@getrad.co

We look forward to hearing from you!