Applied Scientist II, Traffic and Network Modeling

Amazon Web Services (AWS); Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Job summary

Amazon Data Services, Inc. in Seattle is seeking an Applied Scientist to build and validate ML models for network demand forecasting, topology planning, and capacity optimization.

You will collaborate with network engineers, software developers, and supply chain specialists to translate complex infrastructure problems into production-ready solutions. You will drive hypothesis-driven research to inform business roadmap decisions, deliver low-latency forecast predictions, and own projects

Qualifications

• PhD or Masters with 4+ years in CS/CE/ML or related field.
• Experience publishing in top-tier conferences or journals.
• Experience programming in Java, C++, Python or related language.
• Experience building models for business applications.

Responsibilities

• Build and validate ML models for network demand forecasting, topology planning, and capacity optimization.
• Collaborate with network engineers, software developers, and supply chain specialists to translate problems into production-ready scientific solutions.
• Drive hypothesis-driven research to inform business and product roadmap decisions for network traffic modeling.
• Build production systems to deliver low-latency network forecast predictions and scale throughput.
• Own problems end-to-end, translating needs into coherent projects with long-term impact.

Skills

Java/C++/Python

ML modeling

Distributed computing

Education

PhD or MS + 4+ years CS/CE/ML

Job description

Description

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.
• 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.

Basic Qualifications

• 3+ years of building models for business application experience
• PhD, or Master's 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

Preferred Qualifications

• 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 https://amazon.jobs/en/benefits.

USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

Company

Amazon Data Services, Inc.

Job ID: A10468331