Mission
Build AI safety systems that protect millions of Alexa customers every day across modalities (text, audio, image, and more). As conversational AI evolves, you will solve challenging problems in Responsible AI by ensuring LLMs provide safe and trustworthy responses, building AI systems that understand nuanced human values across cultures, and maintaining customer trust at scale.
What You’ll Build
You will pioneer breakthrough solutions in Responsible AI at Amazon’s scale. You will design automated evaluation systems that hunt for vulnerabilities before they surface and certify the systems that power millions of daily conversations. You will create intelligent Generative AI systems that judge responses with human-level insight, build models that truly understand safety, and craft feedback mechanisms that help Alexa+ grasp the nuances of complex customer conversations.
Additionally, you will build AI agents that act as your team’s safety net—detecting and fixing production issues in real time, often before anyone notices there was a problem. Your innovations won’t just improve Alexa+; they will fundamentally shape how it learns, evolves, and earns customer trust.
What We’re Looking For
* Deep expertise in advanced computer vision and GenAI models and algorithms for comprehensive visual understanding in the RAI domain
* Track record of building scalable ML systems across modalities (text, images, and more)
* Technical leadership on AI products/features, and mentoring of junior scientists on the team
* Collaborating with scientists, engineers, product/program managers, and other cross‑functional teams
* Passion for impactful research where frontier science meets real‑world responsibility at scale
Key Job Responsibilities
You will architect breakthrough Responsible AI solutions that become industry benchmarks, pioneer algorithms that eliminate false information, design frameworks that hunt down vulnerabilities before bad actors find them, and develop models that understand human values across every culture served. Working with world‑class engineers and scientists, you will push the boundaries of model training—transforming bold research into production systems that protect millions of customers daily while withstanding attacks and delivering exceptional experiences.
You will lead advanced optimization techniques, build evaluation systems that reason like humans, resolve Responsible AI vulnerabilities in Generative AI systems, and mentor the next generation of AI safety experts. Every innovation you drive will set new standards for trustworthy AI at the world’s largest scale.
A Day in the Life
As a Responsible AI Scientist, you experiment with breakthrough techniques that push the boundaries of what’s possible. You partner with engineering to transform research into production‑ready solutions, tackle complex optimization challenges, brainstorm with product teams, translate ambitious visions into concrete objectives that drive real impact, and guide go/no‑go decisions. You mentor the next generation of AI safety leaders, watching ideas spark and capabilities grow.
About the Team
Our team pioneers Responsible AI for conversational assistants, ensuring Alexa delivers safe and 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
* 3+ 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 a related language
* Experience with neural deep learning methods and machine learning
Preferred Qualifications
* Experience with large‑scale machine learning systems such as profiling, debugging, and understanding system performance and scalability
* Experience with large‑scale distributed systems such as Hadoop, Spark, etc.
Benefits
The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.
Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and optional supplemental life plans), EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage, 401(k) matching, paid time off, and parental leave.
Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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, 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.
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