Software Engineer II, Search Science Data Infra

Job summary

DESCRIPTION Amazon Search creates customer-focused product search solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, our systems go to work.

Qualifications

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience programming with at least one software programming language
• PREFERRED
• Bachelor's degree or equivalent in Computer Science
• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
• Los Angeles County applicants: Job

Responsibilities

• As an ML Engineer you will:
• Lead development of services and infrastructure at the intersection of machine learning, big data, and distributed systems.
• Our products and services empower hundreds of science teams across Amazon to deliver machine learning at scale for ML model training, Feature engineering and Data quality monitoring.
• You will drive to provide a world class platform for Amazon Search engineers to comprehensively observe and introspect their applications and services both pre and post deployment to our large scale inference services.
• You will build scalable data-intensive infrastructure that processes huge amounts of logs, catalogs, transactional data, and telemetry signals.
• By doing so, we enable teams to become more data-driven and build robust and explainable ML services.
• You will work with partners on data experimentation to advance Amazon product search, making it available across all geographic regions with variety of product search and discovery use cases across many categories.
• Criminal history may have a direct, adverse, and negative relationship with some of the material job
• of this position.
• These include the
• Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
• Our inclusive culture empowers Amazonians to deliver the best results for our customers.

Skills

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