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    Principal Applied Scientist, Sponsored Products - New York, United States - Amazon

    Amazon
    Amazon New York, United States

    3 weeks ago

    Amazon background
    Description


    Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales.

    As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon.

    The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers.

    Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day

    Search Supply and Experiences, within Sponsored Products, develops cutting-edge AI solutions to improve shopper discovery experiences.

    Our efforts our focused on solving these large and ambiguous problem for both the Search page and more recent conversational-based shopping experience.

    To accomplish this, we are investing in large language models (LLM), multi-modal Generative AI models, and other related DL methods.

    We work collaboratively across other organizations and influence the design of experiences that improve the shopper experience on Amazon by making discovery easy and efficient.


    We are looking for a passionate Principal Applied Scientist with expertise in the fields of Artificial Intelligence (AI), Natural Language Processing (NLP), and Information Retrieval, to invent and build scalable solutions for improving sponsored products experience in the context of Amazon Search.


    A successful candidate will have a strong machine learning background and a desire to push the envelope in one or more of the above areas.

    The ideal candidate would also have hands-on experiences in building end-to-end Generative AI solutions (mainly with LLMs and multi-modal foundation models), enjoy operating in dynamic environments, be self-motivated to take on challenging high-ambiguity problems to deliver big customer impact.

    Key job responsibilities

    As a Principal Applied Scientist in the team, you will:


    Seek to understand in depth the Sponsored Products offering at Amazon and identify areas of opportunities to grow our business using AI solutions.


    Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in ML.


    Design and lead AI roadmaps and solutions aimed at helping our Amazon shoppers have a delightful shopping experience while creating long term value for our sellers.

    Work with our engineering partners and draw upon your experience to meet latency and other system constraints.

    Be an influencer, and drive the strategic and scientific vision in collaboration with partner teams.


    Identify untapped, high-risk technical and scientific directions, and devise new research directions that you will drive to completion and deliver.

    Be responsible for communicating our AI innovations to the broader internal & external scientific community.

    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

    Developing and productionizing solutions that involve generative-AI models.

    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 Natural Language Processing
    Previous industry experience in Search and/or Ads will be a plus

    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

    Our compensation reflects the cost of labor across several US geographic markets.

    The base pay for this position ranges from $159,100/year in our lowest geographic market up to $309,400/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
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