Amazon
Senior Applied Scientist, Amazon
Amazon, Bellevue, Washington, us, 98009
Job ID: 2747858 | Amazon.com Services LLCWe are seeking a talented applied researcher to join the Whole Page Planning and Optimization (WPPO) Science team in Search. The Search WPPO Science team is responsible for developing reinforcement learning systems for the next generation Amazon shopping experience and delivering it to millions of customers. We believe that shopping on Amazon should be simple, delightful, and full of WOW moments for EVERYONE, whether you are technically savvy or new to online shopping.As an Applied Scientist, you will be working closely with a team of applied scientists and engineers to build systems that shape the future of Amazon's shopping experience by automatically generating relevant content and building a whole page experience that is coherent, dynamic, and interesting. You will improve ranking and optimization in our algorithm. You will participate in driving features from idea to deployment, and your work will directly impact millions of customers.Responsibilities
You are going to love this job because you will:
Apply state-of-the-art Machine Learning (ML) algorithms, including Deep Learning and Reinforcement Learning, to improve hundreds of millions of customers’ shopping experience.Have measurable business impact using A/B testing.Work in a dynamic team that provides continuous opportunities for learning and growth.Work with leaders in the field of machine learning.BASIC QUALIFICATIONS
- PhD degree with 4+ years of applied research experience or a Master's degree and 6+ years of applied research experience- At least 5 years of experience with predictive modeling and analysis, applying various machine learning techniques including supervised/unsupervised learning, deep learning, and reinforcement learning- Publication record at ML conferences and journals- 5+ years of experience with programming in Java, C++, Python or related languagePREFERRED QUALIFICATIONS
- At least 8 years of experience with predictive modeling and analysis, applying various machine learning techniques including supervised/unsupervised learning, deep learning, and reinforcement learning- At least 3 years of experience building large scale production software systems- Strong publication record at top ML conferences and journals- Strong verbal and written communication skills; experience presenting complex technical information, succinctly, to technical and non-technical audiencesAmazon 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.
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You are going to love this job because you will:
Apply state-of-the-art Machine Learning (ML) algorithms, including Deep Learning and Reinforcement Learning, to improve hundreds of millions of customers’ shopping experience.Have measurable business impact using A/B testing.Work in a dynamic team that provides continuous opportunities for learning and growth.Work with leaders in the field of machine learning.BASIC QUALIFICATIONS
- PhD degree with 4+ years of applied research experience or a Master's degree and 6+ years of applied research experience- At least 5 years of experience with predictive modeling and analysis, applying various machine learning techniques including supervised/unsupervised learning, deep learning, and reinforcement learning- Publication record at ML conferences and journals- 5+ years of experience with programming in Java, C++, Python or related languagePREFERRED QUALIFICATIONS
- At least 8 years of experience with predictive modeling and analysis, applying various machine learning techniques including supervised/unsupervised learning, deep learning, and reinforcement learning- At least 3 years of experience building large scale production software systems- Strong publication record at top ML conferences and journals- Strong verbal and written communication skills; experience presenting complex technical information, succinctly, to technical and non-technical audiencesAmazon 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.
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