Software Engineer II, Personalization & ML Systems

Amazon Inc.

Seattle (WA)

Presencial

USD 144 000 - 194 000

Tempo integral

há 37 horas
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Vantagens oferecidas por esta oferta de emprego

Health insurance
401(k) matching
Paid time off
Parental leave

Resumo da oferta

Amazon.com Services LLC is seeking a Software Development Engineer II for its Personalization team in Seattle, WA. The role focuses on building scalable, data-driven software that powers personalized shopping experiences for customers.

You will work across teams to design, develop, and deploy high-quality features that improve recommendations and performance. You will mentor other engineers, participate in code reviews, and help shape the technical roadmap while solving challenging big data

Qualificações

  • 3+ years of non-internship software development experience.
  • 2+ years of design or architecture experience for new/existing systems.
  • Experience programming with at least one software language.
  • Knowledge of software engineering best practices across SDLC and operations.
  • Knowledge of Machine Learning and LLM fundamentals, including transformer architectures.

Responsabilidades

  • Design, develop, and maintain scalable software to process big data.
  • Collaborate with stakeholders to design and launch new software features.
  • Solve complex problems using data-driven approaches.
  • Deliver high-quality code on schedule and mentor teammates.
  • Lead code reviews and drive software quality improvements.

Conhecimentos

Software development
System design
Programming languages
ML fundamentals

Formação académica

Bachelor's degree in computer science or equivalent

Descrição da oferta de emprego

Amazon.com Services LLC is seeking a Software Development Engineer II for its Personalization team in Seattle, WA. The role focuses on building scalable, data-driven software that powers personalized shopping experiences for customers.

You will work across teams to design, develop, and deploy high-quality features that improve recommendations and performance. You will mentor other engineers, participate in code reviews, and help shape the technical roadmap while solving challenging big data

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