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DescriptionWe are building the next generation of personalized shopping experiences at Amazon through deep understanding of our customer's intent and our product catalog. We aim to create an experience akin to that of a talented personal shopping assistant — a partner that is knowledgeable, understands your preferences, and helps you find the right solution for your needs.As a Principal Applied Scientist on the team, you will help lead science innovation in our space across a large multidisciplinary team. You will have a breadth of problems to work on, ranging from developing state of the art NLP techniques to understand product relationships at a semantic level, developing cutting edge deep learned transformer-based models to understand and abstract customer intent signals and representations, building large-scale real-time multi-task ranking systems, and more. You will build technology employed by teams across the company, while also having a direct connection to millions of customers through our own customer facing features every day. Come join us in the journey!Key job responsibilities
Innovate new features and models that have huge impact on the customer experience. Help customers find the right products and content on their shopping journey. Leverage the use of advanced machine learning to create customer shopping experience at Amazon's scale - for all Amazon customers across all countries in realtime
Be a key leader on a multidisciplinary team across science, product, design, and engineering to see through ideas from inception, prototype, to launch in the hands of all Amazon's customers
Drive the science roadmap across multiple teams, helping coordinate a cohesive science agenda across the org.
Mentoring applied scientists across the org, growing their skills and careers.
About the teamOur mission is to delight every Amazon customer with a personalized shopping experience tailed to their intent. We achieve our mission through investments in UX, Science, and Systems with the purpose of delivering the future of shopping on Amazon. We are seeking a Principal Applied Scientist to lead the science charter across the recommendations and intent identification space.About our organization:Our team is part of Amazon’s Personalization organization, a high-performing group that leverages Amazon’s expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. We run global experiments and our work has revolutionized e-commerce with features such as "Keep shopping for ", “Customers who bought this item also bought”, and “Frequently bought together”. Amazon’s internal surveys regularly recognize us as one of the best engineering organizations to work for in the company, with visible high-impact work, low operational load, respectful work-life balance, and continual opportunity to learn and grow.Basic Qualifications· Ph.D. in Computer Science, Mathematics, Statistics, related field, or equivalent experience.· 10+ years of experience in applied science and software development at large scale.· Experience building complex software systems that have been successfully delivered to customers.· Extensive experience building predictive and optimization models.· Expert knowledge and practical experience in several of the following areas: machine learning, statistics, deep learning, natural language processing, informational retrieval.· Proven track record of leading and mentoring applied scientists.· Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis.· Proficiency in, at least, one modern programming language such as C, C, Java, or Python.· Ability to take a complex problem from scoping requirements through actual launch of the project.· Excellent written and oral communication skills.Preferred Qualifications· Experience in advertising, website optimization, recommender systems.· Experience with distributed machine learning systems with billions of data points.· 10+ years of hands-on experience in predictive modeling and analysis.· Significant peer reviewed scientific contributions in premier journals and conferences.· Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.·Significant peer reviewed scientific contributions in premier journals and conferences.·Proven track record leading, mentoring, and growing teams of scientists.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.