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Amazon Senior Principal Applied Scientist Alexa AI 
United States, Washington, Bellevue 
71000919

Today
DESCRIPTION

Alexa+ is the groundbreaking cloud-based intelligent agent that powers Echo and other devices designed around your voice. Our mission is to push the envelope in Artificial Intelligence (AI), Large Language Models (LLMs), Multi-Modal Image/Video Understanding/Generation, Natural Language Understanding (NLU), Personalization, Agents, Dialog Management, Automatic Speech Recognition (ASR) and Text -to-Speech, in order to provide the best-possible experience for our customers. We’re looking for a Sr. Principal Applied Scientist to help build industry-leading conversational systems and Generative AI technologies that customers love. You will partner with world-class technical leaders, engineers, scientists and data analysts across the organization, who have expertise in a wide range of disciplines.Key job responsibilities

BASIC QUALIFICATIONS

• Bachelor's degree and/or Master's degree and/or PhD in Computer Science or equivalent.
• 10+ of experience in state-of-the-art machine learning and statistical modeling techniques.
• Deep knowledge of the LLMs (audio/text/image/vision), ML techniques and algorithms development.
• 10+ years of algorithmic development, model training/testing, and software engineering experience, including, Python, Java and/or C++.
• 10+ years of experience leading large-scale projects.
• Experience in building high-performance, highly-available and scalable distributed systems.
• 3+ years of hands-on experience as a Principal-level Scientist or Engineer.
• Experience building customer and developer facing products and services
• Knowledge and experience with web-scale services, distributed systems and online learning systems.
• Excellent written and verbal technical communication with an ability to present complex technical information in a clear and concise manner to a variety of audiences


PREFERRED QUALIFICATIONS

• Experience in building complex, real-time software systems involving AI, ML, NLU, and dialog algorithms that have been successfully delivered to customers
• Experience with fine-tuning, evaluating, and deploying large-scale LLMs (e.g., GPT, Llama, Claude, etc.) in production environments.
• Experience with large scale personalization and recommendation systems.
• Strong project management experience desired for working on cross-functional projects
• Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements
• Lead, mentor, and grow a team of applied scientists and engineers focused on Generative AI, LLMs, and related technologies.
• Collaborate with product, engineering, and business stakeholders to define and prioritize AI initiatives aligned with company goals.
• Guide the design and architecture of scalable AI-powered systems for large online platforms.
• Stay at the forefront of AI research, evaluate emerging technologies, and incorporate cutting-edge advancements to maintain a competitive edge.
• Foster a culture of innovation, scientific rigor, and collaboration across teams.
• Ensure responsible AI practices, including ethical considerations, fairness, and transparency, are embedded in all stages of development.
• Ph.D. or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• Strong expertise in Generative AI, Large Language Models (LLMs), deep learning frameworks, and NLP techniques.
• Proven track record of delivering AI/ML products at scale in large online systems (e.g., e-commerce, social platforms, cloud services, or similar).
• Deep understanding of system design, distributed systems, cloud platforms, and data pipelines.
• Strong leadership and mentoring skills with a passion for developing talent.
• Excellent communication skills, with the ability to influence technical and non-technical stakeholders.
• Ability to work in a fast-paced environment with minimal process and maximum productivity
• Most of all: enthusiasm, creativity, and inventiveness! You will be asked to find new ways to solve challenging problems every day