1 to 4 of 4 Permanent Speech Recognition Jobs

experienced machine learning engineers with a background in one or more of the following areas: artificial intelligence, natural language understanding, machine learning, automated speech recognition, conversational systems and building large scale production systems. You have a once in a lifetime opportunity to contribute to building … make pragmatic technical decisions We're excited if you have 5+ years hands on experience in building challenging production systems, especially in commercial Speech Recognition systems Strong CS fundamentals, with the ability to write algorithms with ease Deep understanding of DNN/HMM based systems more »

edge IT, the PACS Team manage solutions including the Picture Archiving Communication System (PACS), Radiology Information System (RIS), high powered reporting workstations, voice recognition, advanced image manipulation packages & a number of AI image interpretation solutions. The successful candidate will become an expert in supporting these solutions, training more »

About You You are an experienced Machine Learning Engineer who can help us advance our automatic speech recognition (ASR) and is excited to build the voice interfaces of the future. We are betting big on scaling models so you will be working with millions of … every voice . Our main research focus is large-scale Self-supervised Learning and a practical focus on building state-of-the-art speech pipelines. An average day might include working on Scaling self-supervised learning models across hundreds of GPUs in the cloud Experimenting with distillation or … a new product, such as Language ID, from training the model all the way to shipping it to production Advancing end-to-end speech models in PyTorch such as the RNN Transducer Giving a journal club on a recent paper such as DALLE-2 We aim to get more »

pages for accessibility using browser plugins (Axe, Wave, Google lighthouse) and assistive technologies such as screen readers (JAWS, NVDA or Mac VoiceOver) and speech recognition software (Dragon or VoiceControl) and writing WCAG 2.2 Level AA compliant HTML.You will work within a multi-disciplinary team and more »