Software Development Engineer, Amazon Search Autocomplete and Navigation AI

Amazon • Seattle, WA

5d • $143,700 - $194,400 • Onsite

About The Position

The Amazon Search Navigation AI team is on a mission to help customers narrow down from their search intent to a handful of products for making their final purchase decisions. The team generates highly relevant, context-aware, and personalized search refinements, optimizing their presentation order in a variety of Search Navigation UIs and guiding users to the most relevant search results. The team also owns navigation P0 metrics and defect guardrails to ensure performance and reliability. Additionally, the team develops and maintains engineering infrastructures, such as the Navigation Experience Service (NES) and Alster Refinement Provider Service (ARPS). These services connect to related search systems, serving 3B+ queries worldwide daily. They also support launches of new navigation contents and UIs and enable rapid experimentation both offline and online.

This role requires a pragmatic problem solver comfortable with ambiguity, with deep expertise in data processing at scale. A candidate will need to leverage a wide range of skills and best practices including an emphasis on data processing at scale in customer-facing applications. Additionally, we are seeking candidates with determination and rigor in engineering, deep curiosity and interest for applied sciences, creativity, and sound logic and reasoning.

Requirements

• 3+ years of non-internship professional software development experience
• 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• 3+ years of software development engineer or related occupational experience
• 3+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
• 3+ years of Object Oriented Design experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• Experience programming with at least one software programming language

Nice To Haves

• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent
• Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
• Experience in machine learning, data mining, information retrieval, statistics or natural language processing
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution

Responsibilities

• Interface with Applied Scientists, Product Managers, and Program Managers to determine requirements for production systems
• Analyze log data to determine future system design and configure parameters
• Build scalable and production-ready data pipelines to extract features from petabytes of raw data
• Integrate models and algorithms in complex, real-time production systems on immense scale
• Design and execute experiments to determine the impact of models and algorithms you intend to deploy in production
• Run analysis reports of web-experiments to identify benefits and risk of launching the models and algorithms
• Serve as a liaison to our customer/seller-facing partner teams in case of escalations
• Project manage cross-functional Machine Learning initiatives

Benefits

• sign-on payments
• restricted stock units (RSUs)
• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Senior