Deep Learning Research Engineer

We are looking for talented Deep Learning Research Engineer.

Required skills

  • Have advanced knowledge in relevant areas of mathematics and statistics
  • Have a working knowledge of various techniques, tricks, and best practices for designing deep nets, hyperparameter optimization, visualization, interpretation, etc.
  • Have a bunch of failure stories about the deep learning projects you’ve been involved in (and some success stories)
  • Have a good understanding of deep generative models. You may work on autoregressive models, GANs, VAEs, or flow-based models.

Will be a plus

  • Knowledge of Digital Signal Processing theory
  • Knowledge of speech processing
  • Knowledge of CUDA / interest in developing custom CUDA kernels
  • Experience deploying machine learning models
  • DevOps experience (Kubernetes, etc.)

Responsibilities

  • Implement and maintain deep learning models in PyTorch
  • Train models, keep track of performance, and tune hyperparameters
  • Proactively read relevant literature and generate ideas for model enhancements
  • Help with deployment and ops as needed

    • We Offer

    • Do real research with deep generative models of audio in a small, scientifically-minded team
    • Freedom to try out ideas of your own
    • There might be publication opportunities
    • Office in the center

    Location

    • Kyiv