Let’s Build Something Great Together

We're hiring! We’re looking for detail-oriented, talented professionals to join our growing company. Want to help top Hollywood studios make movies? Want to change the logistics of video game design? Think you’ve got what it takes to help us deliver high-quality voice cloning to animators, advertisers, audiobook makers and others? Check us out. We’re a friendly, innovative, fun team offering competitive pay and benefits to the right candidates.

Check out the job listings below and give us a holler if you think you're a fit.

We are a small team, and we love what we do. Our main office is in central Kyiv, but we are open to remote work.

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Permanent

Kyiv

Full time

Senior

English B2

2+ years experience

Deep Learning Research Engineer

Do original research on generative models of audio. See your work used in high-profile projects like Hollywood movies.

Benefits

• 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

Apply now

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Permanent

Kyiv

Full time

Senior

English B2

2+ years experience

Deep Learning Production Engineer

Do original research on generative models of audio. See your work used in high-profile projects like Hollywood movies.

Benefits

• 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

Apply now

Copy link to vacancy

Permanent

Kyiv

Full time

Senior

English B2

2+ years experience

Deep Learning Dev Engineer

Do original research on generative models of audio. See your work used in high-profile projects like Hollywood movies.

Benefits

• 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

Apply now