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Amazon

Software Dev Engineer (ML)

Amazon · Software Development

Luxembourg

Mid-level

Machine learningComputer visionC++Distributed systemsJavaNLPPythonPyTorchRustTensorFlow

Last seen 1w ago

Posted
2mo ago

Posted on 20 July 2026

Workplace
Not specified

Work model not stated

Salary
Not disclosed

Salary range not shared by the company

Visa sponsorship
Not specified

Visa sponsorship details unknown

This role has closed. It's kept as a record — see Amazon's open roles or the similar live roles below.

See Amazon's open roles

Embark on an exciting journey at Amazon as a Specialised Software Development Engineer! Join our cutting-edge teams working on innovative technologies that impact millions of customers worldwide.

Pioneer the future of AI and Machine Learning at Amazon by developing cutting-edge ML solutions that power Amazon Q, optimize European-wide operations, revolutionize retail search matching for millions of EU customers, or enhance Amazon Music recommendations worldwide.

From implementing advanced NLP models that extract key product attributes to training sophisticated search algorithms that connect customers with the perfect products across Amazon's vast catalog, you'll be at the forefront of applying ML to solve real-world challenges at unprecedented scale.

Work alongside and learn from world-class ML engineers and scientists to build and deploy state-of-the-art models in natural language processing, computer vision, and deep learning.

Shape the next generation of AI-powered products while learning from industry experts in a fast-paced, innovation-driven environment.

Applicants will be reviewed on a rolling basis and are matched to teams aligned with their experience plus location and availability preferences prior to interviews. Applicants will remain under consideration until we have assessed all potential team matches or finished recruiting.

This role may available across multiple locations in the EMEA region (France, Germany, Italy, Luxembourg Poland, Romania, Spain, and the UK) and you can indicate the locations you’re open to when applying.

Please note these are not remote positions.

Key job responsibilities

• Develop and optimize ML models for production deployment at massive scale

• Build and maintain ML pipelines and infrastructure for model training and inference

• Design and implement efficient data processing and feature engineering solutions

• Create and enhance ML evaluation frameworks and monitoring systems

• Collaborate on improving model performance, latency, and resource utilization

• Work with cross-functional teams to integrate ML solutions into product features

• Contribute to the development of ML platforms and tools used across Amazon

A day in the life

As a Specialised Software Development Engineer, you'll immerse yourself in challenging projects that push the boundaries of technology.

Your day might involve learning from and collaborating with ML scientists to implement new model architectures, optimizing training pipelines for better efficiency, analyzing model performance metrics, and participating in design reviews for new ML features.

You'll work closely with product managers to understand requirements and with senior engineers to ensure your solutions meet Amazon's high standards for reliability and scalability.

• Graduated within the last 24 months or expect to graduate in the next 6 months with a Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field,

• Strong knowledge of computer science fundamentals, including data structures, algorithms, and object-oriented design

• Proficiency in at least one programming language such as C, C++, Java, Python, or Rust

• Understanding of fundamental ML concepts and common frameworks (PyTorch, TensorFlow)

• Knowledge of data structures and software engineering principles

• Fluency in spoken and written English

• Previous internship or project experience in ML/AI development

• Experience with NLP, Computer Vision, or Recommendation Systems

• Knowledge of ML deployment and MLOps practices

• Familiarity with distributed systems and cloud computing platforms

• Experience with deep learning model optimization

• Strong mathematical and statistical foundations

• Ability to effectively communicate technical concepts

• Experience with large-scale data processing

• Knowledge of ML evaluation metrics and A/B testing

• Passion for staying current with ML research and industry trends

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.

About Amazon

Amazon hires more engineers in Europe than anyone else on this board, across Dublin, London, Berlin, Madrid, Luxembourg and Gdańsk. The breadth is the point: AWS infrastructure, retail systems, devices and logistics are very different jobs under one name, and team quality varies a lot between them. Worth filtering by role rather than browsing.