Sr. Applied Scientist – Privacy, Privacy Engineering

Job Description

Job Ttitle: Sr. Applied Scientist – Privacy, Privacy Engineering

Company: Amazon Stores


Description: Amazon is seeking an innovative and high-judgement Senior Applied Scientist to join the Privacy Engineering team in the Amazon Privacy Services org. We own products and programs that deliver technical innovation for ensuring compliance with high-impact, urgent regulation across Amazon services worldwide.The Senior Applied Scientist will contribute to the strategic direction for Amazon’s privacy practices while building/owning the compliance approach for individual regulations such as General Data Protection Regulation (GDPR), DMA, Quebec 25 etc. This will require helping to frame, and participating in, high judgment debates and decision making across senior business, technology, legal, and public policy leaders.A great candidate will have a unique combination of experience with the theory and application modern privacy protection methods like differential privacy, synthetic data generation etc. You will be responsible for leading the implementation of privacy preserving mechanisms across applications and measuring improvements in privacy threat mitigation from these implementations. As a builder you will need to demonstrate high judgement in system architecture decisions and ability to set detailed technical design. You will drive foundational frameworks for privacy, set technical requirements, and have end to end accountability for delivering privacy services.Key job responsibilities

• Develop statistical methods and associated software abstractions to measure privacy risks from data processing activities across applications
• Develop frameworks and libraries for implementing privacy budgets, differential privacy and synthetic data mechanisms across applications.
• Leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in generative artificial intelligence for privacy assessment and enhancement.
• Collaborate with other science and engineering teams as well as business stakeholders to maximize the velocity and impact of your contributions.

BASIC QUALIFICATIONS – PhD, or Master’s degree and 8+ years of applied research experience
– 8+ years of building machine learning models or developing algorithms for business application experience
– Experience programming in Java, C++, Python or related language
– Experience with neural deep learning methods and machine learning
– Knowledge of standards like NIST Privacy Framework, ISO Information security, cybersecurity and privacy protection Guidelines etc.PREFERRED QUALIFICATIONS – Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
– Experience with large scale distributed systems such as Hadoop, Spark etc.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 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 $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 . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Salary:

Location: Seattle, WA

Date: Fri, 18 Jul 2025 07:49:30 GMT


Read More…