Applied Scientist II, Traffic and Network Modeling

The Traffic and Network Modeling team builds the science and software that helps AWS decide how to grow and maintain one of the worlds 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

Were part of AWS Infrastructure Services - the team that keeps the cloud running. Youll 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 Amazons 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 worlds 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 its 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 theres nothing we cant achieve in the cloud.

Mentorship and career growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll 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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing

- Experience in professional software development

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

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 WA Seattle - 142800.00 - 193200.00 USD annually