[Hiring] Senior Applied Scientist @Amazon

Role 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:

• Pioneer breakthrough solutions in Responsible AI at Amazon's scale.
• Train models that set new safety standards.
• Design automated testing systems that hunt for vulnerabilities before they surface.
• Certify the systems that power millions of daily conversations.
• Create intelligent evaluation systems that judge responses with human-level insight.
• Build models that understand what makes interactions safe and delightful.
• Craft feedback mechanisms that help Alexa+ grasp complex customer conversations.
• Build AI agents that detect and fix production issues in real-time.

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.

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.
• Creating automated systems that continuously discover and address potential issues.

You'll collaborate with world-class scientists, product managers, and engineers to transform state-of-the-art ideas into production systems serving millions.

Qualifications

• 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.

Requirements

• 4+ years of building machine learning models for business application experience.
• PhD, or Master's degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.
• Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability.

Company Description

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 this link for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.