Sr Principal Scientist, EU INTech

Amazon is hiring a Sr Principal Scientist, EU INTech in Madrid, Spain. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions computer vision, NLP and AI safety among its tools and skills.
Level classes it as a lead role.
Amazon has 20,000+ other open roles on Level.
Posted in the last few days.

AI in this role

computer-visionnlpai-safety

The Amazon International Technology (INTech) team owns the discovery and delivery of Amazon's engineering to all the varied customers and cultures of the world. We do this through a combination of partnerships with other Amazon technical teams and innovative new projects. We make sure that each of our websites is a thoughtful combination of Amazon known best practices and unique last-mile engineering driven by each country's customers' needs. The work spans the technology stack from science to front-end customer experience to back-end core services.

INTech Europe is a technology team focused on accelerating the EU business while deploying tech solutions WW wherever applicable.

EU INTech operates at a unique intersection: worldwide-scale science constrained by EU-specific realities — 10+ languages, 10+ marketplaces. Our science problems — localization, customer understanding, multilingual catalogue intelligence or visual content — are core primitives to serve our WW customers.

This role is ideally located in Madrid or Luxembourg, but we will also consider London as an additional location.

Key job responsibilities
As a Senior Principal Scientist, you will shape the definition and vision for science across INTech Europe and beyond. Leveraging your expertise in both theory and practice in Natural Language Processing / Understanding, Machine Learning, and Computer Vision, you will act as a strategic advisor to the EU Stores' leadership team and a scientific leader whose influence reaches across the worldwide International Stores Technology community.

You will:

• Own the science vision and strategy for EU INTech, setting the bar for scientific excellence across a community of scientists spanning Applied Science, Research Science, and Economics, working on GenAI, NLP/NLU, ML, and computer vision applied to e-commerce at scale.

• See around corners and identify business problems that will impact our customers' and selling partners' experience. You will explore problems that are unique and unsolved, proposing and delivering solutions that translate scientific research and business judgment into products that improve the customer and employee experience.

• Drive science as a pillar of EU INTech's biggest bets — where you will shape and prototype reusable science capabilities for multilingual evaluation and locale-specific model customization.

• Set and hold the bar for Responsible AI, ensuring scientific and ethical rigour is embedded as a prerequisite in how we build and launch AI across the organization.

• Lead writing efforts of notable internal and external publications that validate originality, inspire new lines of research, and elevate internal and external science communities.

• Mentor and develop senior scientists, building the next generation of science leadership across the organization.

Basic qualifications

Basic qualifications

• PhD in Computer Science, Engineering, Mathematics, or a related field.
• Demonstrable of experience building machine learning models
• A track record of world-class publication in related disciplines.
• Demonstrated expertise in both theory and practice in Natural Language Processing / Understanding, Machine Learning, and Computer Vision.
• Hands-on experience with a broad range of qualitative and quantitative research methods.
• Experience multi-tasking and taking input from various teams and sources to scope research work with effective prioritization.
• Excellent verbal and written communication skills with demonstrated experience effectively advising senior management and executives.

Preferred qualifications

Preferred qualifications

• Experience applying GenAI / LLMs to production systems at scale.
• Experience operating science in a regulated, privacy-constrained environment (e.g. GDPR, multi-market).
• Exceptional ability to present complex technical information in a clear and concise manner to a variety of audiences, including large technical audiences, senior management, and customers.
• Exceptional relationship skills, including the ability to discover true requirements, recommend alternative technical and business approaches, and lead engineering efforts to meet timelines with optimal solutions.
• Track record of developing intellectual property.
• Participation on academic program committees and open-source programs.
• Hands-on programming experience including writing production-quality code, building prototypes, and reviewing code with applied scientists and engineers.

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

Sr Principal Scientist, EU INTech at Amazon rates 64 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● 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. Read the description and count the AI tools, models and workflows it names.

Key facts

Sr Principal Scientist, EU INTech is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in ES, M, Madrid.
The job was posted on November 12, 2026.
Seniority: lead.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer visionNLPAI Safety

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
What NLP problem have you worked on, and how did you measure whether it actually worked?
How do you think about the risk of an AI system in this kind of role failing silently?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: Computer vision, NLP, and AI Safety. 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.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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