We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. This team defines and delivers a collection of advertising products that drive discovery and sales. Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. #Amazon software#We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!As an Applied Science Manager in Machine Learning, you will:Directly manage and lead a team of manager applied scientists and software engineers (distributed across the USA) to deliver end-to-end machine- earning solutions to production.Advance the team's engineering craftsmanship and drive continued scientific innovation as a thought leader and practitioner.Develop science and engineering roadmaps, run annual planning, and foster cross-team collaboration to execute complex projects.Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management.Hire and develop top talent, provide technical and career development guidance to scientists and engineers within and across the organization. Our products are strategically important to our businesses driving long term growth. Job summaryAmazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. #Amazon code#Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. #Amazon professional#We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. It isn’t about how many hours you spend at home or at work it’s about the flow you establish that brings energy to both parts of your life. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.Work/Life BalanceOur team puts a high value on work-life balance. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are committed to furthering our culture of inclusion. You will gain hands on experience with Amazon’s heterogeneous text and structured data sources, and large-scale computing resources to accelerate advances in language understanding.We are hiring primarily in Conversational AI / Dialog System Development areas: NLP, NLU, Dialog Management, NLG.This role can be based in NYC, Seattle or Palo Alto.Inclusive Team CultureHere at AWS, we embrace our differences. Your work will directly impact millions of our customers in the form of products and services, as well as contributing to the wider research community. Job summaryAmazon is looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help build industry-leading language technology.Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Processing (NLP), Natural Language Understanding (NLU), Dialog management, conversational AI and Machine Learning (ML).As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology.
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