Software Engineer II

Technology, Data & Digital · Software & Web Development · Software Engineering · Machine Learning

In short

Amazon Customer Service is looking for a Software Engineer II to define and build the Associate Context & Insights platform, focusing on Machine Learning lifecycle. This role involves end-to-end system ownership and collaboration with various teams.

Responsibilities

Define the long-term architecture for Associate Context & Insights platform
Guide the team on building scalable Machine Learning Models
Establish engineering excellence standards for the team
Deliver the minimum viable product incrementally
Influence senior leadership on long-term investments that improve associate capability, customer outcomes, and operational efficiency.
Partner closely with Engineering, Applied Science, and Business Intelligence to continuously improve the product

Requirements

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

Desired Qualifications

3+ 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

Benefits

Inclusive culture empowers Amazonians to deliver the best results for our customers.
If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

Skills

Machine LearningData PreparationTrainingEvaluationInference OptimizationArchitectureDesign PatternsScalabilityReliabilitySoftware Development Life CycleCoding StandardsCode ReviewsSource Control ManagementBuild ProcessesTestingOperations

#Software Development#Machine Learning

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