Careers

Want to change how movies, video games, and advertisements are produced? Join our team!

Let’s Build Something Great Together

Are you ready to help shape the future of Hollywood movies and video game development? Do you see yourself delivering cutting-edge voice cloning technology to animators, advertisers, and audiobook makers? If so, check us out!

We are looking for detail-oriented, talented professionals to join our growing company.

We’re a fun, innovative, and friendly team.

We offer competitive pay & benefits to the right candidates.

We’re a small team, and we love what we do.

Our head office is downtown Kyiv, but we are open to remote work.

See a job listing that you are perfect for? Hit “Apply Now”!

  • 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

Duties

  • 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

We expect you to

  • 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.

Would 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

  • 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

Duties

  • 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

We expect you to

  • 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.

Would 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

  • 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

Duties

  • 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

We expect you to

  • 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.

Would 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

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