Applied Scientist, Personalization, Personalization Strategic Initiatives Science

Amazon Inc.; Seattle, Northern (WA, KY); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Amazon is seeking an Applied Scientist for its Personalization team to advance AI technologies for recommendations and large language models. You will work with vast datasets and compute resources, shaping future experiences for millions of customers.

You will research, design and deploy novel ML methods, publish findings, and partner with engineers, product teams and researchers across geographies to launch impactful features.

Qualifications

• PhD in CS/EE or related field or MSc with 5+ years of applied research experience.
• Excellent coding and design skills in Java or Python.
• Strong publication record in top conferences/journals.
• Communication and collaboration with cross-functional teams.

Responsibilities

• Research, design and develop AI techniques for personalization.
• Invent and evaluate ML models and systems at scale.
• Collaborate with scientists, engineers and product partners locally and abroad.

Skills

Java

Python

Distributed systems

Big data

Education

PhD in CS/EE or related field

MSc plus 5+ years applied research

Tools

AWS

Hadoop

Spark

Job description

Job ID: 10442965 | Amazon Development Center (Tel Aviv)

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
• PhD in CS/EE or related field, or MSc and 5+ years of applied research experience
• Excellent coding and design skills, proficiency with programming languages such as Java or Python
• Several publications at top-tier peer-reviewed research conferences or journals
• 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 applications
• Experience with information retrieval, recommender systems, natural language processing, and/or personalization algorithms
• Publications at top Web, Machine Learning, Natural Language Processing conferences such as KDD, ICML, NeurIPS, ACL, EMNLP, etc.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.