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Amazon Corporate LLC Applied Scientist - Alexa Monetization Services in Seattle, Washington

Job summaryAlexa is the groundbreaking intelligent agent that has changed customers' lives and made voice driven experiences a reality today. If you are passionate about shaping the future of Alexa where it not only responds to requests you make but also proactively anticipates what you might need next and informs you of it at the right moment, then come join us. We're looking for a passionate, talented, and inventive Scientist to help build industry-leading ML technologies and optimize several diverse voice and visual experiences across Amazon Echo products.As a member of the Applied Science team in the n Alexa Monetization space, you will be solving key challenges in how customers learn about and interact with voice assistants, and enable customers to get the most out of our products. You will design and develop fast, efficient, and highly scalable machine learning algorithms that are applied to natural language processing problems. You'll work with senior scientists and engineers within Alexa and develop high quality software that is robust, reliable and scalable.You will work on problems spanning dialog systems, personalization, contextual bandits, recommender systems, and reinforcement learning, developing novel solutions using large-scale real-world datasets. that help provide the best-possible experience for our customers. You will partner closely with engineering and product teams to build, evaluate, and deliver your solutions. You will develop innovative solutions that enable Alexa to learn from past customer interactions to drive future engagement and utility.What You Will DoStep in as an experienced member of an applied machine learning research team, establish technical credibility quickly, and help recruit elite machine learning practitioners.Contribute to setting up the research vision for the team, and develop and execute on a roadmap that addresses the major questions faced by the domains we serve.Raise the bar for research quality and impact. Stay up to date on research results both within and complementary to the Alexa technology space and helping both your team and the larger org utilize tried patterns and state of the art results to work smarter and faster.See it through - don't stop at delivering a report or a model, use your work to influence and create durable change in how leaders at Alexa think about problems.Solve problems durably - design processes, tools, and programs that solve entire categories of problems without you or your team's direct intervention.Hands-on practitioner - You yourself are actively involved in performing data analysis, A/B experimentation and modeling with large data sets to develop insights that increase device usage and customer experience.Work closely with product managers and software engineers to design experiments and implement end-to-end solutions. Communicate the results of your optimizations to various business stakeholders.Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons and Conferences.Develop the skills of junior members through mentorship and training.Potentially support published works.MS in Computer Science, Machine Learning, NLP or other relevant area2+ years of experience in an industrial applied science setting, where your work was directly incorporated into production systemsProficiency in Python, and text data manipulationUnderstanding of computer science fundamentals such as data structures, object-oriented design and service-oriented architecturesAbility to convey Machine Learning concepts and considerations to non-expertsProficiency with a ML tools and libraries (e.g., Pytorch, TensorFlow, MXNet)Proficiency with Big Data SQL (such as Hive or Spark)Demonstrated experience with optimization and/or recommender systemsExperience with reinforcement learning and personalization a