Sr. Applied Scientist, Alexa Excellence AI Ops, Alexa Excellence AI Ops
Core
Lead research and development of machine learning and statistical models to ensure Alexa's reliability at massive scale, focusing on anomaly detection, predictive failure modeling, and LLM-driven operational intelligence.
Role type
Senior Applied Scientist (AI Ops/Reliability)
Builds
Production-grade ML solutions for availability monitoring and fault prediction
Domain
Consumer AI / Large-scale Distributed Systems / Operational Intelligence
Deliverable
production ML models
Required skills
Time series multivariate modeling, statistical anomaly detection, LLM-based operational intelligence, adaptive threshold systems, neural deep learning methods, Java/C++/Python programming
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, large scale distributed systems
Technologies
RAG, confidence scoring, knowledge graph integration, counterfactual testing
Responsibilities
Design and implement production-grade ML solutions, establish rigorous model evaluation frameworks, partner with engineers and product managers to translate science into production systems, drive the scientific agenda and mentor fellow scientists
Seniority
Senior, hands-on IC with mentorship responsibilities