Applied Scientist II, Traffic and Network Modeling
Core
Build and validate ML models for network demand forecasting, topology planning, and capacity optimization to guide AWS network growth and maintenance.
Role type
Applied Scientist II, Traffic and Network Modeling
Builds
Low-latency network forecast predictions and scalable system throughput for AWS infrastructure
Domain
Cloud infrastructure, network engineering, machine learning
Deliverable
production ML models
Required skills
ML model building and validation, Java, C++, Python, algorithms and data structures, numerical optimization, parallel and distributed computing, high-performance computing
Preferred skills
Professional software development
Technologies
Java, C++, Python
Responsibilities
Propose and validate hypotheses to inform business and product roadmap decisions for network traffic modeling; Work with engineers to deliver low-latency network forecast predictions and scale system throughput; Understand networking team needs and implement solutions with long-term impact; Set high standards for scientific rigor and contribute to teammate growth through code reviews and knowledge sharing; Seek out ambiguous, high-impact challenges and drive them to resolution; Collaborate with network engineers, applied scientists, and software engineers to solve complex infrastructure problems.
Seniority
Mid-level IC (3+ years experience)