Applied Scientist, Alexa Smart Home
Core
Define research agenda and build production ML systems for voice understanding, proactive automation, and LLM/agentic orchestration in Alexa Smart Home.
Role type
Senior Applied Scientist (Strategy & Hands-on IC)
Builds
Production ML models and agentic systems for ambient home experiences
Domain
Consumer Electronics / Smart Home / Large Language Models
Deliverable
production ML models
Required skills
Machine learning model building, neural deep learning, Java/C++/Python programming, system-level technical requirements definition, rigorous experimentation design, scientific strategy formulation, mentorship
Preferred skills
Large scale distributed systems modeling, R/scikit-learn/Spark MLLib/MxNet/Tensorflow/numpy/scipy, large scale distributed systems experience
Technologies
Java, C++, Python, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, Spark
Responsibilities
Identify and solve ill-defined research problems, define system-level technical requirements, own science strategy and roadmap, design and run rigorous experimentation, build consensus on scientific approach, mentor other scientists
Seniority
Senior, strategy & mentorship