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Amazon Senior Applied Scientist, Personalization - Discovery Innovation (Level 6) in New York, New York

Description

Are you passionate about innovating and delivering shopping experiences that empower every Amazon customer based on their unique shopping intent? Are you looking for new challenges and solving hard problems while using top-notch LLM and GenAI techniques? Join us and you'll help millions of customers to make informed purchase decisions from a multi-billion product selection!

Key job responsibilities

You’ll be utilizing your Generative AI, time series and predictive modeling skills, and creative problem-solving skills to drive new projects from ideation to implementation. You will lead efforts in foundational models to develop new approaches to Personalization, and provide opportunities for scientists and engineers to invent and implement scalable ML recommendations supporting new Customer Experiences. Your science expertise will be leveraged to research and deliver often novel solutions to existing problems, explore emerging problems spaces, and create or organize knowledge around them. You’ll publish papers and file patents. And you’ll work closely with engineers to put your ideas into production. You will participate in the Amazon ML community by authoring scientific papers and submitting them to ML conferences. You will mentor Applied Scientists and Software Development Engineers having an interest in ML. You will also be called upon to provide ML consultation outside your team for other problem statements.

About the team

The Discover Innovation team is dedicated to assisting customers in fulfilling their shopping objectives and empowering other Amazon teams by leveraging our deep understanding of customer intent. Our team’s mission is to delight customers by helping them discover the right content at the right time, tailoring the shopping experience to the customer’s intent and unique shopping objectives. We are a team of dedicated Scientists, Engineers, and Designers working together to deliver new, personalized shopping experiences. In tailoring the shopping experience to each customer’s intent, we envision operating seamlessly across Amazon as a talented personal shopping assistant — a partner that is trusted, knowledgeable, and understands your unique preferences. We are looking for an Applied Scientist to join our New York City team. As an Applied Scientist within Personalization, you will apply a range of methodologies to delight customers with personalized shopping experiences. You’ll develop approaches using generative AI to create content that explains key terminology and product types in a category, recommends the right products, and asks and answers important product questions. You’ll build automated and human in the loop quality auditing techniques, build labelled datasets, and fine-tune models. You’ll develop algorithms to determine where in a customer’s shopping journey they are and evaluate impact of newly launched experiences. And you’ll partner closely with engineers to put your research and ideas into production on Amazon.com.

We are open to hiring candidates to work out of one of the following locations:

New York, NY, USA

Basic Qualifications

  • 3+ years of building machine learning models for business application experience

  • PhD, or Master's degree and 6+ years of applied research experience

  • Experience programming in Java, C++, Python or related language

  • Experience with neural deep learning methods and machine learning

Preferred Qualifications

  • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.

  • Experience with large scale distributed systems such as Hadoop, Spark etc.

  • Experience with large language models such as OpenAI, Claude, BERT, and vector database technologies

  • Experience with model and data quality evaluation techniques, generating labelled datasets, and fine-tuning models

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 $136,000/year in our lowest geographic market up to $260,000/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.

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