DESCRIPTION
- Formulate traffic engineering problems as mathematical optimization models and develop scalable solvers that operate on graphs with hundreds of nodes and O(10^4) edges
- Design ML models for traffic demand prediction, anomaly detection, and workload classification
- Develop capacity planning frameworks that co-optimize cost, reliability, and performance over multi-year horizons
- Build simulation and evaluation frameworks to validate TE algorithms against realistic failure scenarios and traffic patterns
- Publish research at top venues (SIGCOMM, NSDI, INFOCOM, NeurIPS, ICML) and contribute to the scientific community
- Collaborate with network engineers, software engineers, and operations teams to bring algorithms from prototype to production at global scale
- Define metrics, run A/B experiments, and measure the real-world impact of algorithmic changes on network performance
BASIC QUALIFICATIONS
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.