Software Development Engineer - Machine Learning/AI Runtime

Amazon Catalog Systems powers unrivaled product discovery, informs customer buying decisions, and offers a huge selection across a large number of categories. As a customer-focused Software Development Engineer, you will help improve the world’s best product catalog and enhance the experience for millions of customers. The team leverages machine learning to extract structured knowledge from unstructured data sources, answering questions like:

• Does this TV have built-in WiFi and which streaming services are supported?
• Can this wireless speaker play music from a flash drive?
• Is the “Pack of 4 with 6 bottles of 8 fluid ounce” at $50 baby bottled formula cheaper than the “3 packs of 36 ounces” for $110 powder version?
• Which cell-phone case is the most durable, ultra-thin, and the best value for money?
• Is this mat made of silicone and what are its dimensions?
• Where is this product manufactured?
• When searching for “apple case,” do you mean a cell-phone case compatible with an iPhone or a crate of apples?

About the role

If you are excited about making the Amazon catalog more dynamic, smarter, and changing how we model and understand products to help customers discover, compare, and purchase, this role is for you. We seek individuals with initiative who enjoy diving deep into data and developing innovative solutions. Key challenges include:

• Scalability: Processing billions of records across diverse product categories with sub-second latency, using distributed and streaming algorithms where traditional solutions fail.
• Ambiguity: Creating, operationalizing, and monitoring Large Language Models at Amazon catalog scale, processing billions of requests per month. Our systems thrive in a rapidly evolving AI landscape, adapting to foundation model shifts and new capabilities.

Responsibilities

• Partner with applied scientists and engineers to take emerging agent and enrichment ideas from prototype to robust, instrumented production systems that can be evaluated, improved, and scaled.
• Analyze and process large amounts of data to extract valuable information from diverse sources (e.g., product catalog, customer reviews, search queries, product images, external knowledge bases).
• Actively participate in idea and roadmap generation.
• Work creatively to overcome perceived limitations and enable delightful customer experiences.
• Effectively present work to all levels of leadership.
• Collaborate in a cross-functional team of SDEs, Technical Program Managers, and Product Managers.
• Design and build systems to extract structured knowledge from unstructured and semi-structured data sources, extending beyond existing catalog schema.
• Build and tune LLM prompts to meet Precision and Recall requirements for novel attribute discovery.
• Develop scalable, efficient, and automated knowledge discovery pipelines for conventional and agentic consumers.
• Define and evolve new schema patterns to represent previously uncaptured product knowledge.

Requirements

• 3+ years of non-internship professional software development experience.
• 2+ years of non-internship design or architecture experience (design patterns, reliability, and scaling) of new and existing systems.
• Experience programming with at least one software programming language.

Preferred Qualifications

• 3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Bachelor's degree in computer science or equivalent.

Pay

Base salary range: $143,700.00 - $194,400.00 USD annually (Seattle, WA). Your compensation package will include sign-on payments, restricted stock units (RSUs), and comprehensive benefits.

Benefits

• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D, with optional supplemental life plans).
• Employee Assistance Program (EAP), Mental Health Support, and Medical Advice Line.
• Flexible Spending Accounts.
• Adoption and Surrogacy Reimbursement coverage.
• 401(k) matching.
• Paid time off and parental leave.

Learn more about our benefits at amazon.jobs/en/benefits.