Applied Scientist, , Perimeter Protection Threat Research Team

Amazon Web Services; Seattle (WA); On-site; USD 136,000 - 222,200; Full time

Benefits offered by this job

Diverse and inclusive workplace

Medical and financial benefits

Job summary

Amazon Web Services in Seattle is seeking an Applied Scientist to enhance security measures within their systems. This role involves developing AI-driven tools and collaborating with teams to address complex security challenges.

The ideal candidate will have significant experience in building models for business applications and possess a strong educational background in computer science or related fields. This position offers competitive compensation and opportunities for professional growth within AWS.

Qualifications

• 3+ years of building models for business application experience.
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
• Experience in patents or publications at top-tier peer-reviewed conferences or journals.

Responsibilities

• Develop generalizable solutions for security engineers and developers.
• Lead cross-team projects and resolve technical blockers.
• Publish research in external scientific venues.

Skills

Building models for business applications

Machine Learning

Programming (Java, C++, Python)

Algorithms and Data Structures

Education

PhD or Master's degree in CS, CE, ML or related field

Tools

Unix/Linux

Job description

Come work for M13 – an AWS team specializing in the deception and disruption of cyber threats. We are looking for an Applied Scientist who is passionate about the security domain. You will build services and tools for security engineers and developers that leverage artificial intelligence and machine learning to pull unique insights about the cyber threat landscape. You will be part of a team building Large Language Model (LLM)-based services with the focus on enabling AWS teams to interact with our threat data. The team works in close collaboration with other AWS security services to power mitigations that protect the global AWS network and support features in external security services such as Amazon GuardDuty, AWS WAF, and AWS Network Firewall. If you are excited about combating the ever-evolving threat landscape then we'd love to talk to you.

As an Applied Scientist, you are recognized for your expertise, advise team members on a range of machine learning topics, and work closely with software engineers to drive the delivery of end-to-end modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs.

You take a long‑term view of the business objectives, product roadmaps, technologies, and how they should evolve. You drive mindful discussions with customers, engineers, and scientist peers. You bring perspective and provide context for current technology choices, and make recommendations on the right modeling and component design approach to achieve the desired customer experience and business outcome.

Key job responsibilities

• Understand the challenges that security engineers and developers face when building software today, and develop generalizable solutions.
• Collaborate with the team to pave the way towards bringing your solution into production systems. Lead cross team projects and ensure technical blockers are resolved.
• Communicate and document your research via publishing papers in external scientific venues.

Location

Seattle, WA, USA

BASIC QUALIFICATIONS

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience in patents or publications at top‑tier peer‑reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

PREFERRED QUALIFICATIONS

• Experience using Unix/Linux
• Experience in professional software development

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/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.