Senior Applied Scientist: Alexa Availability ML

Amazon.com Services LLC; Sunnyvale (CA); On-site; USD 190,000 - 240,000; Full time

Job summary

Amazon.com Services LLC in Sunnyvale seeks a Senior Applied Scientist to lead ML research for Alexa Availability, powering reliability at massive scale for hundreds of millions of customers.

You will tackle time-series modeling, anomaly detection, LLM-based operational intelligence, and adaptive thresholds, delivering production-grade ML solutions with rigorous evaluation and bias mitigation.

Qualifications

• PhD or Master's degree with 6+ years of applied research experience.
• 3+ years building ML models for business applications.
• Experience programming in Java, C++, Python or related language and familiarity with neural deep learning methods.

Responsibilities

• Lead research and development of ML and statistical models for Alexa Availability at scale.
• Design production-grade ML solutions and rigorous evaluation frameworks; ensure unbiased, reliable AI systems.
• Collaborate with engineers, PMs, and operations leaders to translate science into production systems with global impact.

Skills

Java/C++/Python

ML modeling

Neural networks

Education

PhD or MS + 6+ years

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Job description

Amazon.com Services LLC in Sunnyvale seeks a Senior Applied Scientist to lead ML research for Alexa Availability, powering reliability at massive scale for hundreds of millions of customers.

You will tackle time-series modeling, anomaly detection, LLM-based operational intelligence, and adaptive thresholds, delivering production-grade ML solutions with rigorous evaluation and bias mitigation.