Amazon Development Center
Machine Learning Science, Applied Science, Retail
AppliedScientist,Personalization,PersonalizationStrategicInitiativesScience
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Applied Scientist, Personalization, Personalization Strategic Initiatives Science at Amazon Development Center. Skills: Machine learning, Recommendation systems, Personalization. Research AI technologies for personalization. Design AI technologies for personalization”
What You'll Achieve.
Deliver best shopping experiences
Industry & Context.
Problem solving
What They're Looking For.
Must Have
Knowledge of computer science fundamentals, Experience in patents or publications, MSc in CS/EE or related field, 2+ years of applied research experience, Excellent coding and design skills, Proficiency with Java or Python, Communication and collaboration skills
Nice to Have
Experience with big data technologies, Experience in building and launching deep learning and machine learning models, Experience with information retrieval, Experience with recommender systems, Experience with natural language processing, Experience with personalization algorithms, Publications at top Web conferences, Publications at top Machine Learning conferences, Publications at top Natural Language Processing conferences
What You'll Do.
Research AI technologies for personalization
Design AI technologies for personalization
Develop AI technologies for personalization
Adopt machine learning techniques
Invent machine learning techniques
Adopt analytical techniques
Invent analytical techniques
Experiment with new features
Experiment with new products
Experiment with new systems
How You'll Work.
Team & Collaboration
Collaborate with scientists; Collaborate with engineers; Collaborate with product partners
Full Job Description
Are you a scientist interested in pushing the state of the art in machine learning and recommendation systems? Are you interested in working on novel ideas that can positively impact millions of customers? Do you wish you had access to large datasets and tremendous computational resources? Answer yes to any of these questions and you will be a great fit for our team at Amazon. 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. Our team builds large-scale machine-learning solutions that delight customers with personzlized content recommendations, at the right time, with the right level of explanation. As an Applied Scientist in our team, you will be responsible for the research, design, and development of new AI technologies for personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations and large language models. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include inventing, experimenting with, and launching new features, products and systems. Please visit https://www.amazon.science for more information. Basic Qualifications: - Knowledge of computer science fundamentals in data structures, algorithm design, and problem solving - Experience in patents or publications at top-tier peer-reviewed conferences or journals - MSc in CS/EE or related field and 2+ years of applied research experience - Excellent coding and design skills, proficiency with programming languages such as Java or Python - Strong communication and collaboration skills Preferred Qualifications: - Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc. - Experience in building and launching deep learning and machine learning models for business application
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