Applied Scientist in Generative AI Security
2 weeks ago
Position Overview
We are looking for an Applied Scientist to become a vital member of our AI Security team. This team is dedicated to developing security tools and paving the way for solutions that ensure our Generative AI (GenAI) experiences adhere to the highest security standards. Your role will involve leveraging AI to create foundational services that enhance the effectiveness and efficiency of security mechanisms.
Key Responsibilities
- Design and implement precise and scalable methodologies to tackle our most challenging AI security issues.
- Collaborate with fellow applied scientists and software engineers to spearhead the technical design and execution of a foundational GenAI-based security service.
Team Mission
The AI Security organization is committed to ensuring that the Generative AI experiences we deliver maintain stringent security standards while utilizing AI to bolster our security posture more effectively.
A Day in the Role
Your daily activities will include engaging with Vulnerability Management and Incident Response teams to analyze data flows, identify prediction use cases, and address automation gaps. You will conduct research on data sets in collaboration with security and software engineers to gather necessary data for your analyses. After framing the challenges, you will perform experiments, regressions, and various analytical tasks to derive insights. You will develop and train models that will be deployed into a production environment with the assistance of software engineers, and you will work alongside your security team partners to evaluate the effectiveness of the models created.
About the Team
The Defensive Security team is a close-knit group located in Austin, Texas, primarily composed of software engineers, with plans to evolve into a hybrid team of software and security engineers. This team is led by experienced Amazon leaders known for their mentoring, coaching, and support for career progression.
Commitment to Diversity
At Amazon Security, we value diverse experiences. We encourage candidates from all backgrounds to apply, even if they do not meet every qualification listed. We believe that unique career paths and alternative experiences enrich our team.
Why Join Amazon Security?
Security is fundamental to maintaining customer trust and delivering exceptional experiences. Our organization is tasked with establishing and upholding high security standards across all Amazon products and services. We provide talented security professionals with opportunities to advance their careers across various domains, including cloud computing, devices, retail, entertainment, healthcare, operations, and physical stores.
Inclusive Culture
In Amazon Security, we foster a culture of learning and curiosity. Our ongoing DEI initiatives and learning opportunities inspire us to embrace our uniqueness and seek diverse perspectives to tackle the toughest security challenges.
Training and Career Development
We are dedicated to continuous improvement and career growth. Our environment promotes knowledge-sharing, training, and resources to help you develop into a well-rounded professional.
Work-Life Balance
We prioritize work-life harmony, ensuring that success at work does not come at the expense of personal life. Flexible work hours and arrangements are integral to our culture, enabling us to achieve our goals both professionally and personally.
Basic Qualifications
- Advanced degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or a related quantitative field.
- Proficiency in programming languages such as C/C++, Python, Java, or Perl.
Preferred Qualifications
- Experience applying Large Language Models (LLMs) to solve critical business challenges.
- Familiarity with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, TensorFlow, NumPy, SciPy, etc.
- Strong problem-solving skills and the ability to thrive in a dynamic and evolving environment.
- A keen interest in researching and developing new technologies with significant customer impact.
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