Shape Alexa Smart Home intelligence with machine learning and large language models, guiding production systems that serve millions of homes.
As a Senior Applied Scientist at Amazon, you will own a major Smart Home workstream from research direction through production impact. You will frame ambiguous problems, build models, and partner with engineering on agentic orchestration, personalization, and real-world household variation. Your work will influence product and technical roadmaps while mentoring scientists and raising scientific standards.
Key Responsibilities:
- Define research agendas and solve ill-defined Smart Home problems
- Build models and guide system design into production
- Evaluate approaches and quantify customer and business impact
- Shape scientific roadmaps and technical requirements
- Mentor scientists and influence cross-team direction
Requirements:
- Three-plus years building machine learning models for business applications
- PhD or master's degree with six-plus years applied research experience
- Programming experience in Java, C++, Python, or related languages
- Experience with neural deep learning and machine learning methods
- Preferred experience with Spark, TensorFlow, or distributed systems
Advance Alexa Smart Home through applied research, LLMs, personalization, experimentation, and production-focused scientific leadership.