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Software Development Engineer, Amazon Private Brands
Software Development Engineer, Amazon Private BrandsAmazon.com.ca, ULC • Vancouver, British Columbia, CAN
Software Development Engineer, Amazon Private Brands

Software Development Engineer, Amazon Private Brands

Amazon.com.ca, ULC • Vancouver, British Columbia, CAN
30+ days ago
Job type
  • Full-time
Job description

Join our Amazon Private Brands Selection Guidance organization in building science and tech solutions at scale to delight our customers with products across our leading private brands such as Amazon Basics, Amazon Essentials, and by Amazon.

The Selection Guidance team applies Generative AI, Machine Learning, Statistics, and Economics solutions to drive our private brands product assortment, strategic business decisions, and product inputs such as title, price, merchandising and ordering. We are an interdisciplinary team of Software Engineers, Scientists, Economists, and Product Managers incubating and building day one solutions using novel technology, to solve some of the toughest business problems at Amazon.

As a Software Development Engineer on the team, you will drive improvements to our technology, collaborating with economists and scientists and highly-engaged users to ship code continuously. We’re truly an agile shop : we work closely with users, deliver features with high frequency, can pivot on a dime when needed, and are passionate about test coverage, refactoring, and paying off technical debt. We are looking for software development leaders who share our vision for continuously improving the customer experience, who are motivated by challenging problems in distributed systems, algorithms and who love writing great code.

This is a unique, high visibility opportunity for someone who wants to develop at the intersection of AI and software with direct business and customer impact.

Key job responsibilities

  • You will solve a breadth of technical problems at global scale
  • You will contribute to technical strategies, vision, and architecture
  • You will have the opportunity to influence quantitative algorithms used (e.g. machine learning, reinforcement learning, large language models) to make recommendations
  • You will design and build software to train models in collaboration with applied science
  • You will design and build software that serves model output to other services and user interfaces to review and interact with model suggestions
  • You will be heavily involved with design and product teams to understand needs, propose features, create early prototypes and transform them into exciting end consumer features
  • Write clean, maintainable code and perform peer code-reviews
  • Deep-dive into client or server systems to optimize for performance, maintainability, scalability, extensibility as needed
  • Propose innovative tools, frameworks, automations and processes that are used by the entire team for development
  • Mentor team members to promote engineering excellence

BASIC 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 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
  • Experience with Machine Learning and Large Language Model fundamentals, including architecture, training / inference lifecycles, and optimization of model execution
  • Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

    Our inclusive culture empowers Amazonians to deliver the best results for our customers.

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    Software Development Engineer Amazon Private Brands • Vancouver, British Columbia, CAN

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