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Deep Learning Innovation

Full-Time 2 years experience On-site Washington DC, USA
This position is no longer available Applications for this role are closed and it is kept here for reference only. Browse our available remote positions to see what is open right now.

About the role

A research-leaning engineering position developing and training deep learning models, then taking the promising ones through to production.

Responsibilities

  • Design, train and evaluate neural network architectures
  • Prepare and curate training datasets
  • Benchmark models and document performance trade-offs
  • Work with engineering to deploy models into production

Requirements

  • Around two years working with deep learning frameworks
  • Strong Python, with PyTorch or TensorFlow
  • Solid grounding in linear algebra and optimisation
  • Based in or able to commute to Washington DC