As a Senior Applied Scientist in the Alexa AI team, you will define and drive the science roadmap for state-of-the-art conversational AI systems powered by large language models, directly impacting how millions of customers interact with Alexa daily. You'll lead the design of LLM fine-tuning, alignment, and agentic architectures that operate reliably at scale, owning end-to-end delivery from research formulation through production deployment.
Working at the intersection of research and production, you'll translate state of the art advances into customer-facing features. Your work will span the full ML lifecycle: developing novel evaluation frameworks, building automated training pipelines, and conducting rigorous experimentation across diverse devices and endpoints.

Collaborating with engineering, product, and cross-functional science teams across Amazon, you'll tackle the team's most complex technical challenges while maintaining practical focus on customer value. This role offers the opportunity to publish at top-tier conferences, generate intellectual property,



and see your innovations scale to one of the world's most popular voice assistants.

Key job responsibilities
As a Senior Applied Scientist in the Alexa AI team:
- Define and drive the science roadmap for conversational AI capabilities powered by large language models
- Design, implement, and evaluate novel approaches to LLM fine-tuning, alignment (RLHF, DPO), and distillation for production deployment
- Architect agentic systems (multi-step reasoning, tool use, planning, and orchestration) that work reliably at scale
- Develop evaluation frameworks and methodologies that go beyond standard benchmarks to capture real-world conversational quality
- Translate research advances into customer-facing products, working closely with engineering, product, and cross-functional science teams
- Own end-to-end delivery of complex, ambiguous research initiatives from problem formulation through experimentation to prod

📌 Senior Applied Scientist, Alexa AI (Torino)
🏢 Amazon
📍 Torino