Applied Scientist, Alexa Speech
The Applied Scientist will join the Alexa Automatic Speech Recognition (ASR) science team in India to advance Alexa's core ASR technology and build highly accurate ASR production models. This role involves working with complex ML technologies like semi-supervised learning, online learning, federated learning, and multilingual ASR. Candidates should have a Master's degree with a strong understanding of Machine Learning, Algorithms, and Coding.
The Alexa Automatic Speech Recognition (ASR) science team in India is rapidly growing. The team is responsible for advancing Alexa’s core ASR technology (in collaboration with the EU and US counterparts) and building highly accurate ASR production models in multiple languages, such as English dialects (UK, AU, NZ, IN) and Indic (Hindi etc.) languages.
The challenge is ASR models must generalize to various device form factors (smart speaker, multi-media devices, etc.), acoustic conditions (far-field, close-talk, mobile, and noisy), and content (natural conversations etc.). As part of the expansion, the team will be responsible for complex ML technologies such as (i) learning without relying on human transcribed data by leveraging abundant unlabelled data via semi-supervised learning (SSL) and self-supervised learning, and customer feedback signals through weak-supervision (WS) (ii) Online Learning and Lifelong Learning, which requires a major overhaul of the learning infrastructure and ML algorithms as data will not be stored for training (iii) Privacy-preserving Federated-Learning, which enables training where audio does not even leave the devices. (iv) multilingual ASR technology, where a single ASR model will serve multiple languages (e.g., Indic languages). Apart from working on cutting-edge ML technology, you will have the opportunity to work on some exciting still confidential new products and also publish your work in top-tier conferences.
We are looking to hire an Applied Scientists. For this role, Masters with solid understanding of Machine Learning (ML), Algorithms and Coding is a minimum requirement. Prior experience in ML projects and publications in top-tier conferences are preferred. If you are interested, please apply below.
Posted June 1, 2026