Overview As a Scientist in AWS Security Services, you will invent and deploy cutting-edge ML/AI solutions for security applications. You collaborate with engineers and security experts to scale experiments into production systems that protect customers. You thrive in high-ambiguity problems and translate results into practical, impact-driven products. This role offers a chance to shape next-gen security analytics at AWS scale and contribute to a mission of stronger cloud security.
Compensation / Benefits- health insurance (medical, dental, vision, prescription)
- 401(k) matching
- paid time off
- parential leave
- RSUs
- sign-on payments
Responsibilities- Invent, implement, and deploy state-of-the-art ML/AI algorithms for information security contexts.
- Prototype and test multiple hypotheses quickly in a high-ambiguity environment using quantitative data and business judgment.
- Collaborate with software engineering teams to integrate successful experiments into large-scale production services.
- Report results in a scientifically rigorous manner.
- Work with security engineers, product managers, and domain experts to address novel challenges.
Key requirements- 2+ years of hands-on predictive modeling and large data analysis experience
- 2+ years programming in Java, C++, Python or related languages
- 2+ years building machine learning models or developing algorithms for business applications
- PhD in Computer Science or related field
- clear written and verbal communication
- ability to present complex technical information to executives and non-technical leaders
- cross-functional collaboration
- machine learning technologies
- reinforcement learning
- deep learning
