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Description

At Amazon Web Services (AWS), we are at the forefront of cloud computing, providing services that power millions of customers worldwide. Our Threat Intelligence team plays a critical role in protecting AWS infrastructure and our customers from sophisticated threats. We are seeking an Applied Scientist to join our team and help develop AI/ML models that detect and mitigate threat activities targeting AWS services and customers.

As an Applied Scientist on our team, you will work at the intersection of artificial intelligence, machine learning, cybersecurity, and threat intelligence. You will collaborate with security engineers, software engineers, and threat researchers to build innovative solutions that identify patterns of suspicious behavior across vast amounts of network data. Your work will directly contribute to the security posture of AWS and help protect our customers from emerging threats.

In this role, you will apply your analytical expertise to deeply understand the threat landscape affecting cloud environments. You will develop a comprehensive understanding of threat actor techniques, tactics, and procedures and translate this knowledge into effective detection models. By analyzing network signals and traffic patterns, you will help produce actionable threat intelligence that enables our engineering teams to implement robust defenses against sophisticated actors.

Your responsibilities will include designing and implementing machine learning algorithms that can process and analyze large-scale network data in real-time. You will work with diverse data sources, including network logs, API calls, and system telemetry, to identify anomalous patterns indicative of malicious activity. Through continuous refinement of your models, you will help reduce false positives while ensuring high detection rates for genuine threats.

The ideal candidate possesses mathematical and statistical foundations, with experience applying machine learning techniques to complex problems. You should have a track record of developing and deploying ML models in production environments, preferably in the security domain. Proficiency in programming languages such as Python is preferred, along with experience using common AI/ML frameworks and tools.

Beyond technical skills, you should demonstrate analytical thinking and problem-solving abilities. The threat landscape is constantly evolving, requiring you to adapt your approaches and develop novel solutions to counter new traffic vectors. Your curiosity and passion for understanding adversarial behaviors will drive you to continuously improve our detection capabilities. Collaboration is key in this role, as you will work closely with cross-functional teams to translate your research into practical security solutions. Communication skills are necessary to effectively share your findings with both technical and non-technical stakeholders. You will participate in threat hunting exercises, contribute to post-incident analyses, and provide insights that shape our security strategy.

At AWS, we operate at massive scale, which presents unique challenges and opportunities for applied scientists in the security field. Your work will have immediate impact, helping to protect critical infrastructure that powers businesses, governments, and organizations worldwide. You will have access to advanced technologies and the resources needed to pursue innovative approaches to security problems.

Join us in our mission to build the most secure cloud platform in the world, where your expertise in AI/ML will directly contribute to protecting AWS and our customers from the most sophisticated threats.

About the team

Utility Computing (UC)

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of 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.

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 — that’s 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

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & 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.

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.

Basic Qualifications

- 3+ years of building machine learning models for business application experience

- PhD, or Master's degree and 5+ years of applied research experience

- Experience programming in Java, C++, Python or related language

- Experience with neural deep learning methods and machine learning

Preferred Qualifications

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.

- Experience with large scale distributed systems such as Hadoop, Spark etc.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.