Amazon is one of the most popular sites in the US. Our product search engine, one of the most heavily used services in the world, indexes billions of products and serves hundreds of millions of customers world-wide.
Our team leads the science and analytics efforts for the search page and we own multiple aspects of understanding how we can measure customer satisfaction with our experiences.
This include building science based insights and novel metrics to define and track customer focused aspects.
We are working on a new measurement framework to better quantify and qualify the quality of the search customer experience and are looking for a Senior Applied Scientist to lead the development and implementation of different signals for this framework and tackle new and uncharted territories for search engines using LLMs.
Key job responsibilities
We are looking for an experienced Sr. Applied Scientist to lead LLM based signals development and data analytics and drive critical product decisions for Amazon Search.
In a fast-paced and ambiguous environment, you will perform multiple large, complex, and business critical analyses that will inform product design and business priorities.
You will design and build AI based science solutions to allow routine inspection and deep business understanding as the search customer experience is being transformed.
Keeping a department-wide view, you will focus on the highest priorities and constantly look for scale and automation, while making technical trade-offs between short term and long-term needs.
With your drive to deliver results, you will quickly analyze data and understand the current business challenges to assess the feasibility of different science projects as well as help shape the analytics roadmap of the Science and Analytics team for Search CX.
Your desire to learn and be curious will help us look around corners for improvement opportunities and more efficient metrics development.
In this role, you will partner with data engineers, business intelligence engineers, product managers, software engineers, economists, and other scientists.
A day in the life
You are have expertise in Machine learning and statistical models. You are comfortable with a higher degree of ambiguity, knows when and how to be scrappy, build quick prototypes and proofs of concepts, innate ability to see around corners and know what is coming, define a long-term science vision, and relish the idea of solving problems that haven’t been solved at scale.
As part of our journey to learn about our data, some opportunities may be a dead end and you will balancing unknowns with delivering results for our customers.
Along the way, you’ll learn a ton, have fun and make a positive impact at scale.
About the team
Joining this team, you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.
com (AMZN), Earth's most customer-centric company and one of the world's leading internet companies. We provide a highly customer-centric, and team-oriented environment.
We are open to hiring candidates to work out of one of the following locations :
Seattle, WA, 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 machine learning systems such as profiling and debugging and understanding of system performance and scalability
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
- Experience with fine tuning Large Language Models and Retrieval-Augmented Generation is advantageous
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