Job Description

DESCRIPTION

Amazon Advertising operates at the intersection of e-Commerce and Advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers across our owned and operated sites, on other high-quality sites across the web, and on millions of Kindles, streaming services, and mobile devices. We start with the customer and work backwards in everything we do, including Advertising. If you’re interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place!

Our team's mandate is to launch and accelerate adoption of advertising measurement products and services that enhance advertiser experience on Amazon. We are responsible for defining and delivering a collection of self-service performance measurement products that enable Advertisers to understand the impact of their Advertising on consumers. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.

In this role you will leverage your strong background in Computer Science and Machine Learning to help build the next generation of our model development and assessment pipeline, harnessing and explaining rich data at Amazon scale, and providing automated insights to improve machine learned advertising measurement solutions that impact millions of customers every day. This role requires a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations. The ideal candidate will have experience with machine learning models and information retrieval systems at scale. Additionally, we are seeking candidates with strong rigor in applied sciences and engineering, creativity, curiosity, and great judgment.

Our teams use advances in information retrieval, computer vision, deep learning, natural language processing, real-time and distributed systems to convert requirements into concrete deliverables. An Applied Scientist at Amazon will translate business and functional requirements into quick prototypes or proofs of concept. Comfort with a high degree of ambiguity and ability to solve problems that haven’t been solved to scale before are essential.
BASIC QUALIFICATIONS

· PhD degree with 4 years of applied research experience or a Masters degree and 6+ years of experience of applied research experience
· 3+ years of experience of building machine learning models for business application
· Experience programming in Java, C++, Python or related language

PREFERRED QUALIFICATIONS

· Peer-reviewed scientific contributions in premier journals and conferences.
· Experience defining research and development practices in an applied machine learning environment.
· Experience working with Deep Learning frameworks (MxNet, TensorFlow, etc.).
· Proven track record in technically leading and mentoring scientists.
· Strong CS fundamentals in data structures, problem solving, algorithm design and complexity analysis.
· Proficiency in model development, model validation and model implementation for large-scale applications.
· Ability to convey mathematical results to non-science stakeholders
· Strength in clarifying and formalizing complex problems.