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Location
In office (Iași)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Aug 18, 2026. Amazon scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Amazon is an American technology and retail conglomerate founded by Jeff Bezos in 1994 as an online bookstore and headquartered in Seattle, Washington. It operates the world's largest online marketplace together with a global logistics network, physical grocery stores and a third-party seller platform that accounts for most units sold. Amazon Web Services, launched in 2006, is the leading public cloud provider and generates the majority of the group's operating profit, while advertising, Prime Video, Alexa devices and Kuiper satellite broadband round out the business.

Join our team building AI-powered product classification systems at Amazon scale. Your code will directly impact millions of products and sellers worldwide, automating compliance workflows and reducing seller friction through better classification accuracy and transparency.

Are you passionate about solving complex engineering challenges that blend machine learning, distributed systems, and regulatory compliance? We're looking for a Software Development Engineer to help build classification systems that automatically identify product compliance requirements, explain decisions to sellers, and streamline the marketplace experience.

Key job responsibilities

- Design, develop, and maintain scalable distributed systems using AWS, Java, and Python

- Build and optimize classification pipelines that process millions of product classifications

- Implement features that help sellers understand compliance decisions and take actionable steps

- Collaborate with science teams to productionize machine learning models including graph neural networks and large language models

- Develop APIs and integrations that connect classification systems with seller-facing tools and compliance workflows

A day in the life

You might start your day reviewing system metrics, then work on improving APIs or building new features for compliance tools. You'll collaborate with applied scientists on machine learning integration, work with product managers on requirements, and partner with compliance teams on system design.

Your work contributes to more efficient operations and better seller experiences through improved automation and clearer guidance.

About the team

The classification engineering team is part of Amazon's Compliance & Safety Services organization, where we build systems that ensure product safety and regulatory compliance across Amazon's global marketplace.

We're responsible for multiple high-impact projects that collectively process large volumes of products. Our systems help Amazon meet regulatory obligations while reducing friction for sellers. The team culture emphasizes technical excellence, collaborative problem-solving, and continuous learning from both senior and mid-level engineers.

You'll be part of building systems that help streamline compliance processes, working at the intersection of AI, regulatory technology, and large-scale distributed systems. Our mission is to make compliance more transparent, automated, and seller-friendly while maintaining high standards of safety and trust.

Basic qualifications

- Experience (non-internship) in professional software development

- Experience programming with at least one software programming language

- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems

Preferred qualifications

- Bachelor's degree in computer science or equivalent

- Experience building complex software systems that have been successfully delivered to customers

- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our 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. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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