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Rask AI — Deep Learning Engineer (Speech/TTS)
5.000 to 7.000 USD per month
Tbilisi / Remote / RelocationRemoteML
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Deep Learning Engineer (Speech/TTS)
Rask AI
5.000 to 7.000 USD per month
Tbilisi / Remote / Relocation
Rask AI is a one-stop-shop tool for content creators and companies who want to localize their videos using AI. The company already has more than 100,000+ users translating their videos into 120 languages
Responsibilities:
• Designing and implementing state-of-the-art zero-shot text-to-speech models
• Research and implement appropriate ML algorithms and tools and replicate the results from recent ML conference papers
Requirements:
• Proven experience as a Machine Learning Engineer or similar role (3+ years)
• Strong prototyping skills: ability to work in fast iterations and create solutions based on open-source code
• Strong model implementation, training, and debugging skills in PyTorch
• Strong expertise in Text-To-Speech (TTS) and Voice Conversion algorithms
• Experience with Pytorch[-Lightning] and Hydra for experiments
• Experience with ClearML
• Deep knowledge of the latest state-of-the-art research, techniques, and innovations in machine learning, with the confidence to implement papers from scratch
Optional:
• Publications at top ML conferences
• Strong results in ML competitions (e.g., gold/silver medals on Kaggle)
• Experience with distributed computing
• Experience in deep learning model deployment and optimization
• Experience in collecting and processing big amounts of data and creating large datasets
Contacts:
dima@brask.ai
kruchinina@brask.ai
@enotdima
Rask AI
5.000 to 7.000 USD per month
Tbilisi / Remote / Relocation
Rask AI is a one-stop-shop tool for content creators and companies who want to localize their videos using AI. The company already has more than 100,000+ users translating their videos into 120 languages
Responsibilities:
• Designing and implementing state-of-the-art zero-shot text-to-speech models
• Research and implement appropriate ML algorithms and tools and replicate the results from recent ML conference papers
Requirements:
• Proven experience as a Machine Learning Engineer or similar role (3+ years)
• Strong prototyping skills: ability to work in fast iterations and create solutions based on open-source code
• Strong model implementation, training, and debugging skills in PyTorch
• Strong expertise in Text-To-Speech (TTS) and Voice Conversion algorithms
• Experience with Pytorch[-Lightning] and Hydra for experiments
• Experience with ClearML
• Deep knowledge of the latest state-of-the-art research, techniques, and innovations in machine learning, with the confidence to implement papers from scratch
Optional:
• Publications at top ML conferences
• Strong results in ML competitions (e.g., gold/silver medals on Kaggle)
• Experience with distributed computing
• Experience in deep learning model deployment and optimization
• Experience in collecting and processing big amounts of data and creating large datasets
Contacts:
dima@brask.ai
kruchinina@brask.ai
@enotdima
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