Founding Machine Learning Engineer
Slough, England, United Kingdom
Hybrid / WFH Options
Hybrid / WFH Options
JR United Kingdom
for storing and transforming massive audio datasets. Apply ML audio and DSP techniques to clean, segment, and filter speech data. Manage large-scale cloud data storage with a deep understanding of cost-performance tradeoffs. Build scalable ML training pipelines in PyTorch using large datasets. Contribute to research and development of generative voice and speech-to-speech models. Prototype and … product capabilities. Develop robust testing pipelines to evaluate model performance on audio data. What We’re Looking For PhD in a relevant field (e.g., Deep Generative Models, TTS, ASR, NLU), or equivalent industry experience. Deep expertise in voice conversion, generative models, deep learning, or statistical modeling. Strong hands-on experience with ML frameworks (PyTorch, TensorFlow, Keras). Proficiency in Python More ❯
Posted: