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Applied Scientist, Personalization

Amazon / AWS22,530 open roles

Where
Tel Aviv-Yafo, Tel Aviv, ISR
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Your applicationOpen nowApplied Scientist, PersonalizationAmazon / AWS · Tel Aviv-Yafo, Tel Aviv, ISR

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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. Amazon / AWS postings stay open a median of 8 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 34.0%30 days
This job: posted today

Amazon / AWS median: 8 days open

The posting

Are you a scientist interested in pushing the state of the art in Information Retrieval, Large Language Models and Recommendation Systems? Are you interested in innovating on behalf of millions of customers, helping them accomplish their every day goals? Do you wish you had access to large datasets and tremendous computational resources? Do you want to join a team of capable scientist and engineers, building the future of e-commerce? 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, generative AI, large-scale data 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 personalized and up-to-date recommendations that are related to their interests. We are a team uniquely placed within Amazon, to have a direct window of opportunity to influence how customers will think about their shopping journey in the future.

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, information retrieval 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.

- Master's degree or above in computer science, electrical engineering, or related field - 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 - Experience communicating with a wide range of stakeholders, including colleagues and leadership - Hands-on Experience with bringing LLM systems to production - Excellent coding and design skills, proficiency with Python

- Experience in building machine learning models for business application - Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc. - 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.

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