Applied Science Leader — Compliance & Security Assurance

VulnU; Seattle (WA); On-site; USD 219,000 - 296,000; Full time

Benefits offered by this job

Paid parental leave

Retirement match

Equity

Flexible PTO

Job summary

Amazon is seeking an Sr Manager of Applied Science for AWS Compliance & Security Assurance in Seattle. You will lead a team of applied scientists, shape the science roadmap, and partner with engineering, product, and compliance to deploy ML-driven compliance decisions at scale.

The role requires a strong track record in machine learning, leadership, and translating business needs into scientific programs, with experience across the full software lifecycle and collaboration with regulators.

Qualifications

• 10+ years building large-scale machine learning and AI solutions at Internet scale.
• Master's degree in Computer Science with focus on ML/AI or Statistics.
• Experience hiring and leading experienced scientists and mentoring juniors.
• Ability to distill customer requirements into well-posed scientific problems.
• Experience with full software development lifecycle and DevOps practices.

Responsibilities

• Lead, grow, and develop a team of applied scientists; set technical direction.
• Own the science roadmap for CSA agenda, spanning decision and verification science.
• Partner with engineering, product, and compliance to productionize science.
• Translate ambiguous problems into well-posed scientific challenges with measurable outcomes.
• Represent CSA science to AWS leadership, auditors and regulators as needed.
• Recruit and mentor scientists, building an effective distributed team.

Skills

Machine learning

Leadership

Problem solving

Communication

Education

Master's degree in Computer Science (ML, AI, Statistics)

PhD in Computer Science (ML, AI, Statistics)

Tools

Java

C++

Python

R

MATLAB

Job description

Amazon is seeking an Sr Manager of Applied Science for AWS Compliance & Security Assurance in Seattle. You will lead a team of applied scientists, shape the science roadmap, and partner with engineering, product, and compliance to deploy ML-driven compliance decisions at scale.

The role requires a strong track record in machine learning, leadership, and translating business needs into scientific programs, with experience across the full software lifecycle and collaboration with regulators.