Sr. Applied Scientist - Privacy, Privacy Engineering

Amazon; Seattle (WA); On-site; USD 150,000 - 260,000; Full time

Job summary

Amazon is seeking a creative Senior Applied Scientist to enhance privacy practices through innovative AI solutions. This role involves developing compliance tools, collaborating with multiple teams, and mentoring junior staff in a dynamic environment. A PhD or Master's as well as significant experience in machine learning is required for this high-impact position.

Benefits

Medical benefits

Employee equity programs

Flexible work environment

Career growth opportunities

Qualifications

• 6+ years of applied research experience required.
• 3+ years of building machine learning models experience necessary.
• Experience with large-scale distributed systems like Hadoop and Spark.

Responsibilities

• Develop algorithms for optimizing privacy requirements and controls.
• Create tools for assessing privacy implementations in application code.
• Collaborate with teams to advance AI solutions for privacy compliance.

Skills

Problem-solving

Computer science fundamentals

Deep learning

Data governance technology

Education

PhD or Master's degree

Tools

Java

C++

Python

R

Tensorflow

Spark MLLib

Hadoop

Job 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 innovative data governance technology, high judgement in system architecture decisions and ability to set detailed technical design from ambiguous compliance requirements. You will drive foundational, cross-service decisions, set technical requirements, oversee technical design, and have end to end accountability for delivering technical changes across dozens of different systems. You will have high engagement with WW senior leadership via quarterly reviews, annual organizational planning, and s-team goal updates.

Key job responsibilities
* Develop information retrieval benchmarks related to code analysis and invent algorithms to optimize identification of privacy requirements and controls.
* Develop semantic and syntactic code analysis tools to assess privacy implementations within application code, and automatic code replacement tools to enhance privacy implementations.
* Leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in generative artificial intelligence for privacy compliance.
* Collaborate with other science and engineering teams as well as business stakeholders to maximize the velocity and impact of your contributions.

About the team
Amazon Privacy Services own products and programs that deliver technical innovation for ensuring Privacy Amazon services worldwide. We are hiring an innovative and high-judgement Senior Applied Scientist to develop AI solutions for builders across Amazon’s consumer and digital businesses including but not limited to Amazon.com, Amazon Ads, Amazon Go, Prime Video, Devices and more.

Our ideal candidate is creative, has excellent problem-solving skills, a solid understanding of computer science fundamentals, deep learning and a customer-focused mindset. The Senior Scientist will serve as the resident expert on the development of AI agents for privacy. They build on their experiences to develop LLMs to develop AI implementations across privacy workflows. They will have responsibilities to mentor junior scientists and engineers develop AI skills. - PhD, or Master's degree and 6+ years of applied research experience
- 3+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning- 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 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 $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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.