Amazon · 1 day ago
Senior Applied Scientist, Security Issue Management
Seattle, WA
Full-time
Onsite
Senior Level
$150K/yr - $260K/yr
5+ years expAmazon is a leading technology company, and they are seeking a Senior Applied Scientist for their Security Tooling team. The role focuses on building advanced machine learning models to enhance builder experience and productivity while addressing security challenges in the software development lifecycle.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Design and implement novel AI/ML solutions for complex security challenges and improve builder experience
Drive advancements in machine learning and science
Balance theoretical knowledge with practical implementation
Navigate ambiguity and create clarity in early-stage product development
Collaborate with cross-functional teams while fostering innovation in a collaborative work environment to deliver impactful solutions
Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results
Establish best practices for ML experimentation, evaluation, development and deployment
Integrate ML models into production security tooling with engineering teams
Build and refine ML models and LLM-based agentic systems that understand builder intent
Create agentic AI solutions that reduce security friction while maintaining high security standards
Prototype LLM-powered features that automate repetitive security tasks
Design and conduct experiments (A/B tests, observational studies) to measure downstream impacts of tooling changes on engineering productivity
Present experimental results and recommendations to leadership and cross-functional teams
Gather feedback from builder communities to validate hypotheses
Qualification
Required
5+ years of building machine learning models or developing algorithms for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Preferred
Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-14
2026-01-14
2026-01-14
Company data provided by crunchbase