Applied Scientist, AI Security
Apply NowCompany: Amazon
Location: Seattle, WA 98115
Description:
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
We are seeking an Applied Scientist to join our AI Security team that leverages AI to make security mechanisms more effective and efficient.
As an Applied Scientist, you will research and implement science methods, create software prototypes, and move prototypes into production systems. You will collaborate with applied scientists and software engineers to develop innovative AI-based technologies to solve some of our hardest security problems, supporting builder teams across Amazon and enabling Amazon businesses to strengthen their security posture more efficiently and effectively.
Key job responsibilities
Design and implement accurate and scalable methods to solve some of our hardest security problems
Collaborate with applied scientists and software development engineers to drive technical design and implementation for AI-powered security services
About the team
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the 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
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.
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.
BASIC QUALIFICATIONS
- Advanced degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience programming in Java, C++, Python or related language
- Experience researching about machine learning, deep learning, NLP, computer vision, data science
PREFERRED QUALIFICATIONS
- Experience building machine learning models or developing algorithms for business application
- Experience with Large Language Models (LLMs)
- 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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,400/year in our lowest geographic market up to $212,800/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.
Seattle, WA, USA
We are seeking an Applied Scientist to join our AI Security team that leverages AI to make security mechanisms more effective and efficient.
As an Applied Scientist, you will research and implement science methods, create software prototypes, and move prototypes into production systems. You will collaborate with applied scientists and software engineers to develop innovative AI-based technologies to solve some of our hardest security problems, supporting builder teams across Amazon and enabling Amazon businesses to strengthen their security posture more efficiently and effectively.
Key job responsibilities
Design and implement accurate and scalable methods to solve some of our hardest security problems
Collaborate with applied scientists and software development engineers to drive technical design and implementation for AI-powered security services
About the team
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the 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
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.
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.
BASIC QUALIFICATIONS
- Advanced degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience programming in Java, C++, Python or related language
- Experience researching about machine learning, deep learning, NLP, computer vision, data science
PREFERRED QUALIFICATIONS
- Experience building machine learning models or developing algorithms for business application
- Experience with Large Language Models (LLMs)
- 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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,400/year in our lowest geographic market up to $212,800/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.