The Traffic and Network Modeling team builds the science and software that helps AWS decide how to grow and maintain one of the world's largest networks. We combine rigorous scientific modeling with modern ML and solid engineering to solve problems like: How much network capacity do we need, and where? What infrastructure should be built, and when?
As an Applied Scientist on the team, you will:
Build and validate ML models for network demand forecasting, topology planning, and capacity optimization
Work alongside network engineers, software developers, and supply chain specialists to translate complex infrastructure problems into elegant, production-ready scientific solutions
We're part of AWS Infrastructure Services - the team that keeps the cloud running. You'll join an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Key job responsibilities
Drive hypothesis-driven research - Propose and validate hypotheses to inform business and product roadmap decisions for network traffic modeling.
Build production systems - Work with engineers to deliver low-latency network forecast predictions and scale system throughput.
Own problems end-to-end - Understand the needs of networking teams, distill them into coherent projects, and implement solutions with long-term impact in mind.
Raise the bar - Use your expertise to set high standards for scientific rigor, and contribute to the growth of teammates through code reviews, design discussions, and knowledge sharing.
Tackle hard problems eagerly - Seek out ambiguous, high-impact challenges and drive them to resolution.
Learn broadly - Collaborate with network engineers, applied scientists, and software engineers. Your impact will depend on learning from diverse perspectives and leveraging Amazon's vast technical resources effectively.
Work backwards from customers - Start with customer problems, design elegant solutions, and implement them for speed and scalability.
About the team
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating, which is why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive team culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Work/life balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Mentorship and career growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional.
Diverse experiences
Amazon values diverse experiences. Even if you do not meet all the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
