Hiring: Senior Applied Scientist, Kumo Company: Amazon Science Location: Bellevue, WA Job Posted Time: 2026-09-15 22:58:21 Employment Type: Full-time Target Skills & Keywords: Generative AI, Agentic AI, Machine Learning, Deep Learning, Natural Language Processing, Large Language Models (LLMs), Fine-tuning, Optimization, Continual Learning, Collaborative Filtering, Personalization, Data Mining, Statistical Techniques, Scalable Systems, Model Development, Model Validation, Production ML Systems Experience: - Senior-level applied science experience - Proven track record of taking solutions from idea to experiment to prototype to live production system - Experience defining science vision and long-term research roadmaps - Experience mentoring junior scientists and engineers - Experience working with software engineering teams to deliver production ML systems Required Skills: - Machine learning, data mining, and statistical techniques - Generative AI and Large Language Model fine-tuning for domain-specific use cases - Building Agentic AI systems for complex use cases - Optimization techniques for cost-efficiency in agentic workflows - Designing scalable agentic evaluation systems - Developing continual learning systems incorporating real-time feedback - Collaborative filtering and personalized recommendation approaches at scale - Analyzing and extracting insights from large-scale data - Establishing scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation Qualifications: - Ability to deliver real-world production systems at AWS scale - Strong collaboration skills to work closely with business stakeholders to understand problem spaces, identify opportunities, and formulate problems - Ability to set technical and research direction and keep approaches at the frontier of what's possible - Commitment to raising the bar through code reviews, science experimentation reviews, and fostering a culture of experimentation and intellectual curiosity - AWS values diverse experiences; candidates are encouraged to apply even if they do not meet all qualifications Compensation: Not specified in the job posting Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!