We're looking for an Applied Scientist to optimize selection and pre-ranking for
Amazon's programmatic advertising product. In this role you will work at the
forefront of high scale low latency customer-facing advertising systems, mixing
machine learning and large scale systems and services. Your work will affect
multi-billion dollar businesses, and you will be responsible for designing,
testing and delivering significant breakthrough's for Amazon's business.
Key job responsibilities
- Design and implement deep learning models to match the right customers with
the right ads across different verticals, geographies, and ads formats.
- Investigate new ML techniques such as multi-task learning to ensure that
models can operate for a variety of advertisers in multiple industries and with
different volumes of conversion events.
- Improve the performance, generalisation and scalability of models by
introducing new features and enhancing models’ architecture.
- Work side by side with our engineers to deliver code changes impacting our ads
stack, working with very large datasets and high throughput production systems.
- Rapidly prototype and test many possible hypotheses/implementation
alternatives in a high-ambiguity environment, making use of both quantitative
analysis and business judgement.
- Be immersed in Amazon's advertisers and their objectives, and think long-term
about how to turn those objectives into products and technical capabilities.
- Understand the latest literature on machine learning for recommender and
advertising systems, contributing to guiding strategic investment for the
organization.
A day in the life
You will partner with our product and engineering teams, bringing your own ideas
to the conversation and aligning on work, adjusting priorities based on business
requirements and fast iteration on experiments. You will have a strong
theoretical understanding of modern ML techniques and methodologies, and the
software engineering and data processing skills to deploy these using the
large-scale datasets we deal with in advertising.
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.
