Sr Manager, Applied Science, Alexa Shopping; Rufus

Sr Manager, Applied Science, Alexa for Shopping (Rufus)

Job :  |  Services LLC

Alexa for Shopping (previously Rufus) is seeking a Senior Manager, Applied Science to lead multidisciplinary teams of Applied Scientists and Machine Learning Engineers building next-generation conversational AI and multi-agent systems powering customer-facing experiences s leader will drive both scientific innovation and execution across large language models (LLMs), agent orchestration, retrieval and grounding systems, evaluation frameworks, and scalable AI infrastructure. The role requires a combination of deep technical judgment, organizational leadership, product and engineering partnership, and operational excellence.

The ideal candidate has a strong track record of building high-performance science and engineering teams, translating ambiguous business problems into scalable AI solutions, and delivering measurable customer impact through applied machine learning and generative AI technologies.

• Lead and grow teams of Applied Scientists and Machine Learning Engineers working on conversational AI and multi-agent orchestration systems.
• Define and drive technical strategy for large-scale generative AI systems, including LLM routing, prompting, grounding, memory, tool use, personalization, and response optimization.
• Partner closely with Product, Engineering, and Tech leadership to align AI investments with long-term business and customer goals.
• Drive end-to-end delivery of production AI systems balancing quality, latency, scalability, safety, and operational reliability.
• Establish scientific and engineering best practices across experimentation, evaluation, model iteration, and production deployment.
• Lead roadmap prioritization and execution across research innovation and product delivery timelines.
• Build scalable evaluation methodologies and quality frameworks for multilingual and global customer experiences.
• Mentor and develop technical leaders across both science and engineering disciplines.
• Foster a high-performance culture centered on customer obsession, innovation, operational excellence, and strong cross-functional collaboration.

• 10+ years of building large-scale machine learning and AI solutions at Internet scale.
• Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent).
• Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives.
• Experience hiring and leading experienced scientists, and a successful record of developing junior members from academia or industry to a successful career track.

• 10+ years of practical work applying ML to solve complex problems for large-scale applications.
• 5+ years of hands-on work in big data, machine learning and predictive modeling.
• 5+ years of people management experience.
• Ph.D. in Computer Science (Machine Learning, AI, Statistics, or equivalent).
• Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive, etc.
• Experience with Java, C++, or other programming languages, as well as with R, MATLAB, Python, or an equivalent scripting language.
• Experience researching actual applications.

• Base salary range: USA, CA, Palo Alto -  -  USD annually; USA, WA, Seattle -  -  USD annually.
• Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance), 401(k) matching, paid time off, and parental leave.
• Sign‑on payments and restricted stock units (RSUs).

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Posted: June 4, 2026 (Updated about 13 hours ago)