Amazon Applied Scientist AWS Sign-In 

Canada, Ontario, Old Toronto 

31660354

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.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.A day in the life
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.
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

- 3+ years of building models for business application experience
- PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience
- 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