Description

We are seeking a Senior Applied Scientist to join our AI Security team, which builds security tooling and paved path solutions to ensure Generative AI (GenAI) based experiences developed by Amazon uphold our high security standards to protect customer data and trust.

As a Senior Applied Scientist, you’ll be responsible for researching, modeling, designing, and implementing state-of-the-art solutions, to secure GenAI products and services at Amazon scale. You will collaborate with applied scientists, security engineers, software engineers, as well as internal partners and external researchers to develop innovative technologies to solve some of our hardest security problems, and build paved path solutions that support builder teams across Amazon throughout their software development journey, enabling Amazon businesses to accelerate the use of GenAI to enhance our user experiences and delight our customers.

Key job responsibilities

• Research and develop accurate and scalable methods to solve our hardest AI security problems.

• Lead and partner with applied scientists and engineers to drive modeling and technical design for complex problems in GenAI security.

• Build security tooling and paved path solutions that support builder teams throughout their software development journey.

About the team

About the team

Diverse Experiences

Amazon Security 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.

Why Amazon Security

At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Inclusive Team Culture

In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.

Training & 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, training, and other career-advancing resources here to help you develop into a better-rounded professional.

Basic Qualifications

• PhD, or Master's degree and 6+ years of applied research experience

• 5+ years of building machine learning models for business application experience

• Experience programming in Java, C++, Python or related language

• Experience with Large Language Models (LLMs)

• Experience with adversarial machine learning and adversarial attacks on LLMs

Preferred Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.

• Experience with multimodal generative AI systems, and attack techniques and mitigation methods for such systems

• Experience translating business needs into technical requirements

• Excellent communication skills with both technical and non-technical audiences

• Strong problem-solving ability and the ability to work in ambiguous and constantly evolving environment

• Strong personal interest in researching and developing new technologies with high customer impact

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.