# Senior Applied Scientist, Kumo at Amazon

Amazon is hiring a Senior Applied Scientist, Kumo in Bellevue, United States. It pays $167k-$226k a year and Level rates it Builds AI ●●●●; you can [apply on Amazon](https://jobsbylevel.com/go/de03cc94-6120-4442-84c3-357f9515c7f8?utm_medium=ai-agent).

AI Level 4, AI centrality 95 out of 100. US, WA, Bellevue.

## Details

- Company: [Amazon](https://jobsbylevel.com/companies/amazon)
- AI level: AI Level 4 (score 95 out of 100)
- Location: US, WA, Bellevue
- Salary: $167k-$226k
- Posted: September 14, 2026
- Apply: https://jobsbylevel.com/go/de03cc94-6120-4442-84c3-357f9515c7f8?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-applied-scientist-kumo-at-amazon-347cac

## Prepare for this job

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## Description

AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex things easy and hard things possible, with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are. We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset. At AWS we use Artificial Intelligence to be able to identify every need of a customer across all AWS services before they have to tell us about it and help customers adopt best practices while architecting on the cloud. We are looking for a Senior Applied scientist who will function as a science leader and drive innovation with Gen AI to bring paradigm shift to how the business operates and build "best in the world" experience that customers will love! Some of the science challenges we work on include building Agentic AI systems for complex use cases such as optimizing customers' cloud architectures innovating optimization techniques for cost-efficiency in agentic workflows fine-tuning language models for domain specific use cases building scalable agentic evaluation systems designing continual learning systems that incorporate real-time customer and operational feedback to improve model performance over time and developing collaborative filtering approaches that surface personalized recommendations at scale. You will have an opportunity to lead invent and design technology that will directly impact every customer across all AWS services. We are building industry-leading technology that cuts across a wide range of ML techniques from Natural Language Processing to Deep Learning and Generative Artificial Intelligence. You will be a key driver in taking something from an idea to an experiment to a prototype and finally to a live production system. As a senior scientist on this team you will define the science vision and long-term research roadmap for your problem space. You will set technical and research direction and ensure our approaches remain at the frontier of what's possible. You will mentor junior scientists and engineers helping them grow their technical depth develop scientific rigor and navigate ambiguous problem spaces. You will raise the bar for the team through code reviews science experimentation reviews and by fostering a culture of experimentation and intellectual curiosity. Key job responsibilities • Deliver real world production systems at AWS scale. • Work closely with the business to understand the problem space identify the opportunities and formulate the problems. • Use machine learning data mining statistical techniques Generative AI and others to create actionable meaningful and scalable solutions for the business problems. • Analyze and extract relevant information from large amounts of data and derive useful insights. • Work with software engineering teams to deliver production systems with your ML models • Establish scalable efficient automated processes for large scale data analyses model development model validation and model implementation A day in the life Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at

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