Senior Applied Scientist, Alexa Sensitive Content Intelligence (ASCI)

Amazon; Bengaluru; On-site; INR 3,500,000 - 7,500,000; Full time

Job summary

Amazon’s Alexa+ team is building an AI-powered virtual assistant with responsible AI at scale. As a Senior Applied Scientist you’ll lead the scientific vision for end-to-end Responsible AI solutions, pursuing breakthroughs in safety and coordinating across engineers to productionize trustworthy systems.

You’ll tackle AI safety challenges, design evaluation frameworks, and help Alexa+ deliver safe, trustworthy conversations across cultures and languages, impacting millions of daily interactions.

Qualifications

• 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.

Responsibilities

• Lead scientific vision for end-to-end Responsible AI solutions—pioneering algorithms that eliminate false information.
• Design frameworks that hunt down vulnerabilities and develop models that understand human values across cultures.
• Collaborate with engineers to push model training, building agentic AI systems coordinating autonomous agents.
• Transform bold research into production systems that protect millions of customers daily.

Skills

NLP

LLMs

ML systems

Java/Python/C++

Education

PhD

Master's + 6+ years

Tools

Java

Python

C++

Job description

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.

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. As Alexa+ continues to delight customers, your work ensures it becomes more trustworthy, safer, and deeply aligned with customer needs and expectations.

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

Ready to work on AI safety challenges that define the industry? Join us.

Key job responsibilities

The Responsible AI (RAI) team is at the forefront of building AI systems that are safe, ethical, and trustworthy. As a Senior Applied Scientist, you’ll lead the scientific vision for end-to-end Responsible AI solutions—pioneering algorithms that eliminate false information, designing frameworks that hunt down vulnerabilities before bad actors find them, and developing models that understand human values across every culture we serve. Working alongside world‑class engineers and scientists, you’ll push the boundaries of model training, building agentic AI systems that coordinate multiple autonomous agents to solve complex safety challenges—transforming bold research into production systems that protect millions of customers daily while withstanding attacks and delivering exceptional experiences.

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.

Basic Qualifications

• 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

Preferred Qualifications

• Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
• PhD

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Company - ADCI - BLR 14 SEZ

Job ID: A10578604