Lead transformative projects at Alexa Smart Home as a Senior Applied Scientist. This role involves driving scientific strategies and transforming research into production systems for a better customer experience.

As a key member of the Alexa Smart Home Science team, you will tackle complex, ill-defined research challenges and partner with engineering to create impactful solutions. Your contributions will directly improve home automation, integrating large language models and realistic user contexts.

Collaborating closely with product managers and mentoring fellow scientists will be essential to your success.

Key Responsibilities:
Identify and solve open-ended research problems independently
Define technical requirements with engineering teams




Shape science strategy and roadmap for workstream
Design and conduct rigorous experiments to validate results
Mentor scientists and influence technical direction across teams

Requirements:
3+ years in machine learning model development
Ph.D. or Master's with 6+ years of applied research experience
Proficient in Java, C++, Python or similar languages
Experience with neural deep learning methods
Knowledge of tools like Tensor Flow, Spark, or scikit-learn

Elevate customer experiences by driving innovation in Alexa Smart Home solutions.
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📌 Senior Applied Scientist For Alexa Home Vancouver
🏢 Amazon
📍 Vancouver