Description

We are seeking an exceptional Applied Scientist to join the Amazon Retail Compatibility Experience (ARCX) team. You would leverage advanced AI and machine learning techniques to drive innovation in how we generate, vet and refresh product to product compatibility data . In this high-impact role, you will be responsible for developing novel methods to automatically detect, analyze, and validate compatibility relationships between our diverse range of products and services.

Key job responsibilities

• Leverage large language models, knowledge graphs, and other state-of-the-art AI techniques to extract and infer compatibility information from unstructured data sources like product documentation, user forums, and technical support logs

• Develop machine learning models to classify products, identify compatible features and components, and predict potential compatibility issues

• Design and execute rigorous testing and validation frameworks to confirm the accuracy and reliability of your AI-generated compatibility insights

• Collaborate closely with product management, engineering, and technical support teams to incorporate your compatibility analytics into product roadmaps, design specifications, and customer-facing resources

• Stay up-to-date with the latest advancements in AI/ML for compatibility analysis and identify opportunities to innovate and push the boundaries of what's possible

• Document your work, share findings, and present recommendations to cross-functional stakeholders

• work globally to ensure that across science teams that we have a consistent set of models and best practices around compatibility data generation

About the team

The Amazon Retail Compatibility Team (ARCx) is dedicated to creating systems and experiences that help customers find products that fit other products they own. If you own a printer, we help you find ink. If you own a car, we help you find wiper blades. We work with a wide area of stakeholders and partners in order to make Amazon the best place to find products for the things customers already own.

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 distributed systems such as Hadoop, Spark etc.

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.

Our compensation reflects the cost of labor across several US geographic markets. 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.