Job Title : Machine Learning Researcher (Speech and Language AI)
As a Machine Learning Researcher specializing in Speech-to-Text (STT), Neural Machine Translation (NMT), and Text-to-Speech (TTS) systems, you will conduct research and development of novel models in these domains, working independently and collaboratively under the guidance of the Head of R&D. This role demands excellent technical skills and the ability to translate innovative AI research into robust, production-grade solutions.
Responsibilities
- Conduct research and develop novel models in STT, NMT, and TTS, independently or with team members.
- Build and iterate on research prototypes, conducting experiments and evaluations.
- Transition promising research into robust, production-quality implementations.
- Collaborate with cross-functional teams including product, engineering, and design to implement AI solutions.
- Stay updated with the latest research in speech and language AI and adapt cutting-edge ideas to meet company needs.
Requirements and Qualifications
Master’s or Ph.D. in Computer Science, Machine Learning, Computational Linguistics, or a related field, or equivalent industry experience in applied AI research.Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.Solid understanding of machine learning and deep learning fundamentals.Hands-on experience with at least one of the following :Speech recognition models, with experience using open-source toolkits like Kaldi, DeepSpeech, ESPnet, or developing custom STT systems.Neural Machine Translation with Transformer architectures, using frameworks like OpenNMT, Fairseq, or MarianNMT, or developing end-to-end NMT systems.Text-to-Speech systems, familiar with models like Tacotron, FastSpeech, WaveGlow, or building complete TTS pipelines.J-18808-Ljbffr