Currently tracking 995 active AI roles, up 64% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $196k).
| Title | Stage | AI score |
|---|---|---|
| 2026 Applied Scientist Intern, Amazon University Talent Acquisition MS or PhD student internship in machine learning, deep learning, generative AI, LLMs, speech, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods. Focus on designing and developing end-to-end systems, writing technical white papers, creating roadmaps, and driving production-level projects. Opportunity to design new algorithms and models, potentially publish work at top-tier conferences. | Ship | 7 |
| Sr. Developer Advocate, Italy, AWS Developer Experience This role focuses on developer advocacy, guiding developers on how AI is changing software development, adopting AI-powered tools, and building on AWS. The advocate will create technical content, build community, and provide feedback to product teams. | — |
| 5 |
| Influencer Business Development Manager (Italian and English Speaker Needed) This role is for an Influencer Business Development Manager at Amazon, focusing on helping influencers monetize and scale their affiliate commerce content in Italy. The role involves strategic relationship management, sales performance analysis, creative collaboration, and program innovation, with a strong emphasis on data-driven insights and understanding the creator and marketing landscape. While the role mentions using generative AI tools for workflow efficiency, it is not the core craft. | — | 0 |
| Data Scientist / Business Intel Engineer, EU Prime and Marketing Analytics & Science (PRIMAS) This role focuses on business intelligence and analytics for the EU Prime and Marketing organization at Amazon. The primary responsibilities involve understanding customer behavior, designing and conducting experiments, and providing insights to improve customer engagement, sales, and marketing efficiency. The role requires strong data analysis, SQL, Python scripting, and data visualization skills, with a focus on building scalable and robust analytical solutions. | — | 0 |