Applied Scientist, Worldwide Returns & Recommerce - Science

About the role

Welcome to the Worldwide Returns & ReCommerce team (WWR&R) at Amazon.com. WWR&R is an agile, innovative organization dedicated to ‘making zero happen’ to benefit our customers, our company, and the environment. Our goal is to achieve the three zeroes: zero cost of returns, zero waste, and zero defects. We do this by developing groundbreaking products and driving truly innovative operational excellence to help customers keep what they buy, recover returned and damaged product value, keep thousands of tons of waste from landfills, and create the best customer returns experience in the world.

You will help create everything from customer-facing and vendor-facing websites to the internal software and tools behind the reverse-logistics process. You can develop scalable, high-availability solutions to solve complex and broad business problems. We are a group that has fun at work while driving incredible customer, business, and environmental impact. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth.

Responsibilities

• Design, develop, and evaluate highly innovative models for our Natural Language Understanding (NLU) and Large Language Model (LLM) models.
• Use SQL to query and analyze the data.
• Use Python, Jupyter notebook, and PyTorch to train/test/deploy NLU/LLM/GenAI models.
• Use machine learning and analytical techniques to create scalable solutions for business problems.
• Research and implement novel machine learning and statistical approaches.
• Mentor interns.
• Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale.

About The Team

When a customer returns a package to Amazon, the request and package will be passed through our WWRR machine learning (ML) systems so that we could improve the customer experience, identify return root cause, optimize re-use, and evaluate the returned package. Our problems touch multiple modalities spanning from: textual, categorical, image, to speech data. We operate at large scale and rely on state-of-the-art modeling techniques to power our ML models: XGBoost, BERT, Vision Transformers, Large Language Models.

Requirements

• 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 building machine learning models or developing algorithms for business application.

Preferred Qualifications

• Experience using Unix/Linux.
• Experience in professional software development.
• Experience in patents or publications at top-tier peer-reviewed conferences or journals.

Pay

USA, WA, Bellevue — $142,800.00 – $193,200.00 USD annually. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.