ML Engineer, Nebius ML Platform

About the team

We develop machine learning platform (voice technologies, machine translation, and optical character recognition) for the Nebius global cloud systems. We work with a wide range of clients across multiple languages and data domains.

You will

• Design, train, and enhance our ML systems for speech recognition and synthesis, machine translation, and text recognition.
• Adapt and train ML models for new client domains and new languages.
• Work with data collection, labeling and processing pipelines for ASR/TTS and CV.
• Integrate new features and models into the C++ inference code and deploy them into production servers.

We expect you to have

• Minimum 2 years of industry experience with ML/DL (data collection and processing, model training and adaptation, inference development and deployment).
• Solid understanding of ML/DL basics.
• Experience of running experiments in some python DL framework (PyTorch, TensorFlow).
• Willingness to develop and deploy DL models inference in C++.
• Understanding of typical pipelines and tools for CI/CD, testing and exploitation of ML-powered systems.

Does all that sound like your kind of challenge? Then join us!