About Sponsored Products and Brands
The Sponsored Products and Brands team at Amazon Ads is re-imagining the
advertising landscape through state-of-the-art generative AI technologies,
revolutionizing how millions of customers discover products and engage with
brands across Amazon.com and beyond. We are at the forefront of re-inventing
advertising experiences, bridging human creativity with artificial intelligence
to transform every aspect of the advertising lifecycle from ad creation and
optimization to performance analysis and customer insights. We are a passionate
group of innovators dedicated to developing responsible and intelligent AI
technologies that balance the needs of advertisers, enhance the shopping
experience, and strengthen the marketplace. If you're energized by solving
complex challenges and pushing the boundaries of what's possible with AI, join
us in shaping the future of advertising.
Key job responsibilities
As an Applied Scientist in the team, you will:
(1) Seek to understand in depth the Sponsored Products offering at Amazon and
identify areas of opportunities to grow our business using AI solutions.
(2) 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.
(3) Work with our engineering partners and draw upon your experience to meet
latency and other system constraints.
(4) Identify untapped, high-risk technical and scientific directions, and devise
new research directions that you will drive to completion and deliver.
(5) Be responsible for communicating our AI innovations to the broader internal
& external scientific community.
About the team
The Search Relevance team within Sponsored Products and Brands develops advanced
AI solutions to tackle the most difficult challenges that hinder the search
experience on Amazon. To accomplish this, we invest in large language models
(LLM), multi-modal Generative AI models, and other related DL methods.
We are looking for a passionate Applied Scientist talented 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 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.
Curious about our advertising solutions? Discover more about Sponsored Products
and Sponsored Brands to see how we’re helping businesses grow on Amazon.com and
beyond! Basic Qualifications: - 3+ years of building models for business
application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures,
parsing, numerical optimization, data mining, parallel and distributed
computing, high-performance computing Preferred Qualifications: - Experience
using Unix/Linux
- Experience in professional software development
Amazon is an equal opportunity employer and does not discriminate on the basis
of protected veteran status, disability, or other legally protected status.
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
[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.
