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Software Development Engineer, Amazon Search Autocomplete and Navigation AIAmazon • Seattle, Washington, United States
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Software Development Engineer, Amazon Search Autocomplete and Navigation AI

Amazon
  • US
    Seattle, Washington, United States
  • US
    Seattle, Washington, United States
Jetzt Bewerben

Über

Software Development Engineer, Amazon Search Autocomplete and Navigation AI Job ID: 10449296 | Amazon.com Services LLC
The Amazon Search Navigation AI team is on a mission to help customers narrow down from their search intent to a handful of products that drive final purchase decisions. The team generates highly relevant, context‑aware, and personalized search refinements, optimizes their presentation order in a variety of Search Navigation UIs, and guides users to the most relevant search results. The team also owns navigation P0 metrics and defect guardrails to ensure performance and reliability, and develops and maintains engineering infrastructures such as the Navigation Experience Service (NES) and Alster Refinement Provider Service (ARPS). These services process over 3 B+ queries worldwide daily, support launches of new navigation content 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 seek candidates with determination and rigor in engineering, deep curiosity and interest for applied sciences, creativity, and sound logic and reasoning.
Key Job 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 risks of launching 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.
Basic Qualifications
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.
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.
Preferred Qualifications
5+ 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.
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.
Compensation & Benefits USA, WA, Seattle - $143,700.00 - $194,400.00 USD annually.
The base salary range for this position is listed below. 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. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and optional Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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  • Seattle, Washington, United States

Sprachkenntnisse

  • English
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