Senior Applied Scientist, Network Fabric Engineering

Job summary

DESCRIPTION We are looking for an Applied Scientist to join our team and tackle some of the most challenging traffic engineering problems at planetary scale. You will develop novel optimization algorithms and ML models that balance network utilization, resilience, cost efficiency, and latency — across traffic classes with fundamentally different characteristics.

Benefits

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
• Experience with modeling
• and location.
• Amazon also offers comprehensive

Responsibilities

• You will develop novel optimization algorithms
• The problem then expands to network capacity planning, where you will collaborate with other scientists to develop the optimal strategy to efficiently scale the network.
• 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
• About the team
• The Inter Data Center (InterDC) Networking team owns traffic engineering across AWS's regions — the largest inter-datacenter network in the world, connecting hundreds of data centers
• across dozens of regions.

Degrees

Industry