Careers
Want to change how movies, video games, and advertisements are produced? Join our team!
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 Kyiv, but we are open to remote work.
Deep Learning Research Engineer
Do original research on generative models of audio and see your work used in high-profile project like Hollywood movies.
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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
- Office in the center
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
Deep Learning Production Engineer
Optimize and productionize new deep learning models. Find the best hyperparameters. Build tools to help the research team.
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Benefits
- Take cutting edge research on deep generative models and make it work in production for customers in Hollywood and beyond
- Freedom to try out ideas of your own
- There might be publication opportunities
- Office in the center
Duties
- Optimize deep learning models in PyTorch
- Train models, keep track of performance, and tune hyperparameters
- Build machine learning infrastructure for research and production in cooperation with researchers, full-stack developers, and DevOps professionals
- Write beautiful and flexible Python code
We expect you to
- Have a solid understanding of deep learning and hyperparameter optimization techniques
- Understand performance issues in deep learning training and inference
- Write great Python code using best practices
- Have experience optimizing models in PyTorch or a similar deep learning library
Would be a plus
- Knowledge of C++
- Knowledge of CUDA / interest in developing custom CUDA kernels
- Experience with mulitprocessing and optimizing CPU-based pipelines
Voice Model Operator
Prepare customer datasets, train machine learning models, and post-process the results. Do experiments with data to learn more about the performance of our models.
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Benefits:
- Be part of a small team working on an exciting project in a dynamic startup
- Shape bleeding-edge machine learning research into a killer product
- Work on major entertainment projects such as Hollywood movies and AAA video games
Duties
- Develop, maintain, and run scripts to prepare datasets and train machine learning models (bash and python)
- Carefully listen to raw data and the outputs of our models, identify audio problems, and choose the best results
- Post-process synthesized audio
- Experiment with audio processing pipelines, dataset design, and model configuration
We expect you to
- Have basic knowledge of Linux and comfort with the command-line
- Work well both in a team and independently
- Be comfortable sometimes spending hours listening to recordings
- Have good English, especially listening skills
- Have a good ear for subtle differences in audio quality
Would be a plus
- Knowledge of python
- Knowledge of shell scripting
- Knowledge of audio software like Audacity, ProTools
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