Software Development Engineer (ML), EU International Technologies
AI in this role
This is a rewarding role where you will be able to draw a clear connection between your work and how it improves the experience of millions of Amazon customers across the globe every day. You can also expect to have excellent opportunities, and ample support, for career growth, development, and mentorship. The team is a mixed science/engineering group, with each team member able to contribute to both engineering excellence as well as scientific innovation.
Key job responsibilities
- Design and implement new features across the various software components powering our search system
- Participate in the design and deployment of robust and scalable pipelines for data processing, model training, and model inference
- Build and configure metrics, dashboards, and alerting mechanisms for our deployed services and models
- Work closely with ML experts on your team to identify improvement opportunities and tackle technical obstacles
- Coordinate with engineering counterparts in other teams and stakeholders we work with
A day in the life
You will collaborate with scientists who build ML models trained on terabytes of data, and integrate these models into the production search engine that serves customers, closing the loop through design, implementation, deployment, and monitoring. The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times.
About the team
EU International Technologies is an organization focused on accelerating the EU Stores business by delighting customers and selling partners. The team's mission is to innovate locally and scale worldwide, fostering a world-class community of builders that delivers with speed and agility. EU INTech operates across domains including consumer discovery, search, selection, partner growth, pricing, sustainability, and marketplace expansion. The culture emphasizes collaboration, inclusion, technical excellence, big bets on high-impact projects, transparency, and long-term ownership -- empowering engineers and scientists to solve complex problems at international scale.
Basic qualifications
- Bachelor's degree in computer science or a related quantitative field
- 3+ years of professional software development experience
- 1+ year of experience in building large-scale pipelines for data processing and ML model training/inference
- Strong coding and problem-solving skills in at least one modern programming language such as Python, Java, C++, etc.
- A general understanding of essential machine learning concepts (with no expectation of in-depth ML knowledge)
- Experience with full software development life cycle, including code reviews, build processes, testing, and deployment
Preferred qualifications
- Master's degree in computer science or a related quantitative field
- Professional experience with AWS services (e.g. S3, EC2, Lambda, EMR, DynamoDB)
- Prior experience within a multidisciplinary team of scientists and engineers
- Experience with NLP applications or search/retrieval engines
- Fluency in one or more languages other than English
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.
How we rate this
Software Development Engineer (ML), EU International Technologies at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: NLP. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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