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Lead Applied Scientist in AI Security
2 months ago
Position Overview
We are in search of a Senior Applied Scientist to become a vital member of our AI Security division. This team is dedicated to developing security tools and streamlined solutions that guarantee the Generative AI (GenAI) experiences crafted by Amazon meet our rigorous security standards. Furthermore, we leverage AI to create foundational services that enhance the effectiveness and efficiency of security mechanisms.
Key Responsibilities
- Conduct research and devise scalable methodologies to tackle our most challenging AI security issues.
- Collaborate with applied scientists, software development engineers, and security engineers to lead the modeling and technical design of a foundational GenAI-based security service.
Team Mission
The AI Security organization is committed to ensuring that the Generative AI experiences provided by Amazon maintain our high security standards while utilizing AI to bolster Amazon's security posture in a more efficient and effective manner.
A Day in the Role
Your daily activities will include engaging with Vulnerability Management and Incident Response teams to analyze data flows, prediction use cases, and identify automation gaps. You will research data sets and collaborate with security and software engineers to gather necessary data for your analyses. After defining the problems, you will perform experiments, regressions, and various analytical tasks to derive insights. You will also develop and train models that will be deployed in a production environment with the assistance of software engineers, and work closely with 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 benefits from experienced Amazonian leadership, known for mentoring, coaching, and supporting career advancement.
Why Join Amazon Security?
At Amazon, security is fundamental to maintaining customer trust and delivering exceptional customer experiences. Our organization is responsible for establishing and upholding high security standards across all of Amazon's products and services. We provide talented security professionals with opportunities to accelerate their careers while gaining experience in diverse areas such as 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 educational experiences motivate us to continue our learning journey and embrace our individuality. Addressing complex security challenges requires us to seek out and celebrate a variety of ideas, perspectives, and voices.
Career Development
We are constantly raising our performance standards as we strive to become Earth’s Best Employer. You will find abundant opportunities for knowledge-sharing, training, and other resources to help you grow into a well-rounded professional.
Work-Life Harmony
We prioritize work-life balance. Achieving success in your career should not come at the expense of your personal life, which is why flexible work hours and arrangements are integral to our culture. When you feel supported both at work and at home, there are no limits to what you can achieve.
Basic Qualifications
- 5+ years of experience in building machine learning models for business applications.
- Proficiency in programming languages such as Java, C++, Python, or similar.
- PhD or Master's degree with 6+ years of applied research experience.
- Experience in enhancing the effectiveness of Large Language Models (LLMs).
Preferred Qualifications
- Familiarity with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc.
- Experience in prompt engineering and designing retrieval-augmented generation frameworks to enhance LLM effectiveness.
- Ability to translate business requirements into technical specifications.
- Excellent communication skills for both technical and non-technical audiences.
- Strong problem-solving skills and adaptability in a dynamic environment.
Amazon is committed to fostering a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.
