Sr. Applied Scientist, Trust CX Innovations&AI Policy

• *DESCRIPTION**
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Alexa\+ is Amazon’s next\-generation, AI\-powered assistant. Building on the original Alexa, it uses generative AI to deliver a more conversational, personalized, and effective experience. The Trust CX Innovations team is looking for an Applied Scientist with strong background in Generative AI space to build solutions that help in upholding customer trust for Alexa\+.

A Senior Applied Scientist in Trust CX innovations, you will be at the forefront of developing innovative solutions to critical challenges in AI trust and privacy. You'll lead research in trust\-preserving machine learning techniques. We are working on revolutionizing the way Amazonians work and collaborate. You will help us achieve new heights of productivity through the power of advanced generative AI technologies. We are looking for a leader with strong technical experiences a passion for building scientific driven solutions in a fast\-paced environment. You should have good understanding of Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing where to apply them in different business cases.

You will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you.

Key job responsibilities

• Lead research initiatives in generative AI, focusing on LLMs, multimodal models, and frontier AI capabilities
• Develop innovative approaches for model optimization, including prompt engineering, few\-shot learning, and efficient fine\-tuning
• Pioneer new methods for AI safety, alignment, and responsible AI development
• Design and execute sophisticated experiments to evaluate model performance and behavior
• Lead the development of production\-ready AI solutions that scale efficiently
• Collaborate with product teams to translate research innovations into practical applications
• Guide engineering teams in implementing AI models and systems at scale
• Author technical papers for top\-tier conferences
• File patents for novel AI technologies and applications

A day in the life

You will be working with a group of talented scientists on researching algorithm and running experiments to test scientific proposal/solutions to improve our trust\-preserving experiences. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You work closely with partner teams across Alexa to deliver platform features that require cross\-team leadership.

About the team

Who We Are

Trust CX Innovations is a strategic innovation team within Amazon Devices \& Services that focuses on advancing AI technology while prioritizing customer trust and experience. Our team operates at the intersection of artificial intelligence, privacy engineering and customer\-centric design.**BASIC QUALIFICATIONS**

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• 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 related language
• Experience with neural deep learning methods and machine learning

• *PREFERRED QUALIFICATIONS**
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• Experience with modeling tools such as R, scikit\-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.

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.