Join the AWS Perimeter Protection team as an Applied Data Scientist, where you will play a crucial role in developing cutting-edge AI/ML-based security solutions. You will collaborate closely with our security engineers and researchers to build innovative offerings that complement our existing security services, including Web Application Firewall, DDoS Protection, Bot Management, Network Firewall, and Infrastructure protection. With services offered across all AWS regions and handling trillions of requests per week, you will operate at a massive scale, ensuring robust and efficient security measures.
Key job responsibilities
- Develop and implement advanced AI/ML models and algorithms to enhance the capabilities of our security services, enabling proactive threat detection, mitigation, and protection against evolving cyber threats.
- Collaborate with security engineers and researchers to understand business/domain requirements, analyze data patterns, and translate insights into actionable solutions.
- Design and drive implementation of data pipelines and ETL processes to ingest, process, and analyze large-scale security data from multiple sources, ensuring data quality and integrity.
- Conduct in-depth data analysis, feature engineering, and model evaluation to continuously improve the performance and accuracy of AI/ML-based security solutions.
- Participate in the development and deployment of AI/ML models into production environments, ensuring scalability, reliability, and performance at cloud scale.
- Collaborate with cross-functional teams to ensure seamless integration of AI/ML solutions with our security services and infrastructure.
- Contribute to the development of best practices, documentation, and knowledge-sharing within the team and the broader organization.
- Engage in research and exploration of emerging technologies and techniques relevant to AI/ML-based security solutions, stay up-to-date with the latest trends in cybersecurity, and incorporate new techniques and methodologies into our security offerings.
About the team
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.
Minimum Qualifications
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- 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.
- 3+ years of building machine learning models or developing algorithms for business application experience
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
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