Amazon is hiring: Applied Science Manager, Fire TV in Dallas ID-13129
Job ID: 2961185 | Amazon.com Services LLCHelp re-invent how millions of people watch TV! Fire TV remains the #1 best-selling streaming media player in the US, with over 100 million active users. Our goal is to be the global leader in delivering entertainment inside and outside the home, with the broadest selection of content, innovative devices, and personalized experiences for customers.Our team is an interdisciplinary group of scientists working at the intersection of Recommender Systems, Information Retrieval, Machine Learning (ML), and Spoken Language Understanding (SLU). Through close collaboration with engineering and product teams, we develop and deploy innovative algorithms that enhance content discovery and customer engagement on Fire TV. Our work directly contributes to making our devices delightful to use and indispensable for the household.Key job responsibilitiesLead and grow a group of scientists, establishing and executing the research vision while recruiting and developing team members.
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Combine technical leadership with hands-on contributions, participating directly in research and development while guiding the broader team.Drive end-to-end impact by designing scalable solutions that systematically address technical challenges and deliver lasting customer benefit.Balance and prioritize multiple workstreams spanning long-term research, applied projects, and production support to ensure high-impact outcomes.Drive adoption of state-of-the-art approaches across the organization by staying at the forefront of relevant technological advances.BASIC QUALIFICATIONS4+ years of scientists or machine learning engineers management experience.Knowledge of ML, NLP, Information Retrieval and Analytics.PhD.PREFERRED QUALIFICATIONSExperience building machine learning models or developing algorithms for business application.Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers.Fluent in ML fundamentals (including Deep Learning, NLP, LLMs, A/B experiments).A strong track record of project delivery for large, cross-functional, projects.Track record of recruiting and developing top science talent.Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J-18808-Ljbffr