Software Development Engineer, Machine Learning

- 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
- 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

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As an engineer on our team, you will take on a key role in improving capabilities of the Amazon product search service, and ensure we offer top-quality recommendations for all our customers regardless of their location or language. We help customers find the products they are searching for, and discover new products they would be interested in, by developing ML models trained on terabytes of product and traffic data to improve query understanding, ranking of search results, and personalization. We are seeking a software engineer who will assist in deploying those ML models, integrating them into existing services, and optimizing their performance. You will do so by building robust pipelines to train, evaluate, and deploy our models.

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.