Senior Applied Scientist , Alexa AI Domains

The Alexa AI Domains • Bellevue, WA

1d

About The Position

The Alexa AI Domains is seeking a passionate, talented, and resourceful Senior Applied Scientist to invent and build scalable solutions for sate-of-the-art conversational AI. You will be working on advancing technologies in the fields of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP) and/or Information Retrieval. As part of this role, you will collaborate with talented peers, have significant influence on our overall strategy as you guide and mentor Applied Scientists to create innovative and scalable solutions that touch millions of Alexa customers. Creating reliable, scalable, and high performance products requires exceptional technical expertise, a sound understanding of the fundamentals of AI, and practical experience building large-scale machine learning systems. The ideal candidate will be a self-starter who can dive into a project with limited guidance and is able to design and implement inventive, simple solutions to complex problems. They will be passionate about new technologies and have a track record of delivering valuable software features and products in a fast-paced, highly iterative environment. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Join us in our mission to shape the space of Generative AI and provide unparalleled experiences for our customers. The AIDo (AI Domains) org is part of Alexa AI VP and Devices and Services SVP organizations. Our vision is to build an ecosystem of AI systems and services that elevate the core LLM model performance across endpoints, modalities, and locales. We are the horizontal Science and Engineering team that empowers Domains and Horizontal CX owners with transformative solutions that enable rapid, efficient scaling. AIDo represents a sophisticated global organization that spans multiple international locations including the US (Boston, Seattle), Germany, Italy, and India. The team's core mission is to develop and maintain AI systems and services that enhance the performance of core LLM models across various endpoints, modalities, and locales.

Requirements

• 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
• Experience in building machine learning models for business application
• Experience with large scale distributed systems such as Hadoop, Spark etc.
• Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
• Usage of Generative AI tools to enhance workflow efficiency, with a willingness to learn effective agentic prompting and evaluation practices

Responsibilities

• Define the science roadmap and advance core science primitives for conversation modelling, content generation, and automated quality assurance via state-of-the-art computer vision, machine learning, and generative AI
• Architect agentic systems, making high-judgment trade-offs across audio/text/visual quality, relevance, latency, cost, and long-term extensibility
• Establish evaluation frameworks, metrics, and success criteria for the team's scientific initiatives, institutionalizing rigorous validation across customer touch points
• Own end-to-end delivery of complex, ambiguous research initiatives from problem formulation through experimentation to production deployment, with minimal guidance
• Identify whitespace opportunities by staying at the forefront of AI/ML advances and translating them into actionable research directions with clear customer and business impact
• Drive development and deployment of scalable agentic systems for conversation understanding and generation, ensuring architectural decisions support long-term platform evolution
• Set and continuously raise the scientific and engineering bar across the team
• Tackle the team's most complex technical problems while maintaining practical focus on customer value and solution generalizability
• Advance the team's scientific reputation through high-impact publications and presentations at top-tier internal and external venues, and generate intellectual property through patents

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level