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| Job Location | Bangalore |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | IT - Software |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
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 Scientist. 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., Masters in computer science, data science, electrical engineering, applied mathematics, or a related field. Demonstrated leadership abilities Excellent written and oral communication skills (English) Solid research track record with peer-reviewed publications in relevant areas Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field Hands-on experience in programming and machine learning Experience in professional software engineering best practices Comprehensive knowledge of speech and language technology, including speech recognition.Amazon is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
Keyskills :
data scienceoral communicationlifelong learningcomputer sciencemachine learningthought leadershipchartered property casualty underwriter cpcu