Deep Learning Engineer (Speech/TTS) Rask AI 5.000-7.000 USD Remote or relocation (Tbilisi, with the possibility of relocation to Spain) 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. Role and 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 Expectations: -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 Nice to have: - 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: [email protected], [email protected] or @@enotdima