DESCRIPTION

The CloudTune team within Amazon's Intelligent Cloud Control organization is seeking a passionate and innovative Applied Scientist II to be a core contributor in our mission to automate Amazon’s scaling and infrastructure spend planning.

Our goal is to invent and implement machine learning and statistical software systems that remove human decision-making from SDO's scaling and cost controllership processes. You will apply state-of-the-art forecasting, optimization, and control algorithms to drive end-to-end automation, provisioning Amazon's services appropriately for a great customer experience while optimizing for availability and cost.

This role offers enormous impact, eliminating vast quantities of undifferentiated and often tedious work for tens of thousands of Amazon developers across major business lines like Retail, Alexa, and Prime Video. You will be tackling challenging scalability, efficiency, and distributed systems design problems using very large volumes of data. You must be able to think big, contributing both to the research and the production deployment of high-impact algorithms.

Key job responsibilities
Design, implement, and evaluate advanced statistical and machine learning models for forecasting, anomaly detection, and capacity optimization at Amazon scale.

Collaborate closely with engineering teams to integrate models into production systems, ensuring scalability, efficiency, and reliability.

Conduct rigorous experimentation and A/B testing to measure the business impact of new algorithms on cost, availability, and customer experience.

Investigate, prototype, and deliver innovative system solutions to increasingly complex distributed systems challenges.

Communicate technical design, research findings, and product strategy clearly and precisely to technical and non-technical stakeholders, including senior leadership.

About the team
CloudTune is part of Amazon's Intelligent Cloud Control organization, dedicated to inventing software systems that remove human decision-making from SDO’s scaling and infrastructure spend planning. Our core mission is to drive end-to-end automation to provision Amazon's services—optimizing simultaneously for a great customer experience, high availability, and reduced cost. The solutions we build eliminate vast quantities of undifferentiated and tedious work, creating an enormous impact for tens of thousands of Amazon developers across the company. We are a high-leverage team focused on innovative, large-scale systems that define the future of Amazon's growth and efficiency.

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 using Unix/Linux

• Experience in professional software development

• PhD

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.