Senior Applied Scientist - Search Customer Experience

Job Description

We are looking for an experienced Senior Applied Scientist to lead the development and implementation of different signals for our new measurement framework, which aims to better quantify and qualify the quality of the search customer experience using Large Language Models (LLMs).

Requirements

• 3+ years of building machine learning models for business applications 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

About the Team

Our team leads the science and analytics efforts for the search page and owns multiple aspects of understanding how we can measure customer satisfaction with our experiences. This includes building science-based insights and novel metrics to define and track customer-focused aspects.

Key Job Responsibilities

• Lead LLM-based signals development and data analytics to drive critical product decisions for Amazon Search
• Perform multiple large, complex, and business-critical analyses to inform product design and business priorities
• Design and build AI-based science solutions to allow routine inspection and deep business understanding as the search customer experience is being transformed
• Partner with data engineers, business intelligence engineers, product managers, software engineers, economists, and other scientists

A Day in the Life

• Expertise in machine learning and statistical models
• 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

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

Locations

• Seattle, WA, USA

Nice to Have

• 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

Amazon's Commitment to Diversity and Inclusion

• 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 https://www.amazon.jobs/en/disability/us

Compensation

• The base pay for this position ranges from $136,000/year in our lowest geographic market up to $260,000/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 https://www.aboutamazon.com/workplace/employee-benefits

This position will remain posted until filled. Applicants should apply via our internal or external career site.