Senior Applied Scientist: Operational AI for Availability

Amazon Science; Sunnyvale (CA); On-site; USD 192,000 - 260,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Science's Alexa Availability team seeks a Senior Applied Scientist to lead research and development of ML and statistical models powering Alexa's reliability at massive scale.

You will work on complex problems spanning time series modeling, anomaly detection, LLM-driven operational intelligence, and adaptive thresholds, translating science into production systems with measurable impact.

Qualifications

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

Responsibilities

• Lead the research and development of ML and statistical models powering Alexa reliability at scale.
• Design production-grade ML solutions with rigorous evaluation frameworks.
• Mentor fellow scientists and influence the broader Alexa Excellence organization.

Skills

ML model development

Programming languages

Deep learning

Statistical modeling

Time series

Education

PhD or Master's + 6+ years experience

Advanced degree requirement

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

numpy

scipy

Job description

Amazon Science's Alexa Availability team seeks a Senior Applied Scientist to lead research and development of ML and statistical models powering Alexa's reliability at massive scale.

You will work on complex problems spanning time series modeling, anomaly detection, LLM-driven operational intelligence, and adaptive thresholds, translating science into production systems with measurable impact.