Applied Scientist, Alexa Sensitive Content Intelligence (ASCI)

Amazon Inc.; Lombardia; Hybrid; EUR 110,000 - 170,000; Full time

Job summary

Amazon Inc. is seeking an Applied Scientist-II to advance Responsible AI for Alexa+. You will develop safety systems, train models that align with human values, and design evaluation methods to detect vulnerabilities in real-world conversations.

You’ll work with engineers and product teams to deploy trustworthy AI at scale across devices and languages. You will lead research that balances model capability with safety, building multi-agent architectures and automated testing to prevent issues

Qualifications

• Experience building machine learning models for business applications.
• Experience with patents or publications at top-tier conferences or journals.
• Proficient in Java, C++, Python or related languages.
• Experience with state-of-the-art deep learning model architectures, training, optimization, and pruning.

Responsibilities

• Develop Responsible AI solutions at scale for Alexa+ and related systems.
• Identify and mitigate AI safety risks early through multi-agent architectures and orchestration patterns.
• Collaborate with engineers and scientists to translate research into production-ready AI safety features.
• Mentor and contribute to a culture of responsible AI practices across teams.

Skills

ML model development

Patents/publications

Java/C++/Python

Deep learning architectures

Tools

Unix/Linux

Job description

Alexa+ is Amazon’s next-generation, AI-powered virtual assistant. Building on the original Alexa, it uses generative AI to deliver a more conversational, personalised, and effective experience. Alexa Sensitive Content Intelligence (ASCI) team is developing responsible AI (RAI) solutions for Alexa+, empowering it to provide useful information responsibly.

The Mission

Build AI safety systems that protect millions of Alexa customers every day. As conversational AI evolves, you'll solve challenging problems in Responsible AI by ensuring LLMs provide safe, trustworthy responses, building AI systems that understand nuanced human values across cultures, and maintaining customer trust at scale.

What You'll Build

You'll pioneer breakthrough solutions in Responsible AI at Amazon's scale. Imagine training models that set new safety standards, designing automated testing systems that hunt for vulnerabilities before they surface, and certifying the systems that power millions of daily conversations. You'll create intelligent evaluation systems that judge responses with human-level insight, build models that truly understand what makes interactions safe and delightful, and craft feedback mechanisms that help Alexa+ grasp the nuances of complex customer conversations. Here's where it gets even more exciting: you'll build AI agents that act as your team's safety net—automatically detecting and fixing production issues in real-time, often before anyone notices there was a problem. Your innovations won't just improve Alexa+; they'll fundamentally shape how it learns, evolves, and earns customer trust.

Your work directly protects customer trust at Amazon's scale. Every innovation you create—from novel safety mechanisms to sophisticated evaluation techniques—shapes how millions of people interact with AI confidently. You're not just building products; you're defining industry standards for responsible AI.

This is frontier research with immediate real-world impact. You'll tackle problems that require innovative solutions: training models that remain truthful and grounded across diverse contexts, building reward models that capture the nuanced spectrum of human values across cultures and languages, and creating automated systems that continuously discover and address potential issues before customers encounter them. You'll collaborate with world-class scientists, product managers, and engineers to transform state-of-the-art ideas into production systems serving millions.

What We’re Looking For

• Deep expertise in state-of-the-art NLP, Large Language Models
• Track record of building scalable ML systems
• Passion for impactful research—where frontier science meets real-world responsibility at scale
• Excitement about solving problems that will shape the future of AI

Key job responsibilities

The Responsible AI (RAI) team is at the forefront of building AI systems that are safe, ethical, and trustworthy. As an Applied Scientist-II, you'll be a key contributor to end-to-end Responsible AI solutions—developing and refining algorithms that detect and eliminate false information, building models that identify vulnerabilities exploited by bad actors, and training systems that understand human values across diverse cultures. Working alongside world-class engineers and scientists, you'll apply state-of-the-art, but here's what makes this role exciting: you'll grow into a future leader. You'll contribute to identifying, defining, and mitigating AI safety risks early—helping protect customers before they're impacted—while building deep expertise in responsible AI. You'll work within multi-agent architectures, implementing components where distributed AI systems maintain human oversight and control. Every model you build and every experiment you run—from consensus-driven reasoning modules to orchestration components—will directly strengthen trustworthy AI at the world's largest scale.

But here's what makes this role truly special: you'll shape the future. You'll lead efforts to identify, define, and mitigate risks early—protecting customers before they're impacted—and mentor the next generation of AI safety experts. You'll design multi-agent architectures where distributed AI systems exhibit emergent collective intelligence while maintaining human oversight and control. Every innovation you drive—from consensus-driven reasoning frameworks to sophisticated orchestration patterns—will set new standards for trustworthy AI at the world's largest scale.

A day in the life

As a Responsible AI Scientist, you're at the frontier of AI safety—experimenting with breakthrough techniques that push the boundaries of what's possible. You partner with engineering to transform research into production-ready solutions, tackling complex optimization challenges. You brainstorm with Product teams, translating ambitious visions into concrete objectives that drive real impact. Your expertise shapes critical deployment decisions as you review impactful work and guide go/no-go calls. You mentor the next generation of AI safety leaders, watching ideas spark and capabilities grow. This is where science meets impact—building AI that's not just intelligent, but trustworthy and aligned with human values.

About the team

Our team pioneers Responsible AI for conversational assistants. We ensure Alexa delivers safe, trustworthy experiences across all devices, modalities, and languages worldwide. We work on frontier AI safety challenges—and we’re looking for scientists who want to help shape the future of trustworthy AI.

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.

Basic Qualifications

• Experience building machine learning models or developing algorithms for business application
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning

Preferred Qualifications

• Experience using Unix/Linux
• Experience with programming languages such as Python, Java, C++

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.