Amazon

DESCRIPTION

We're on a mission to simplify Privacy for Amazon's builder community. Our systems are used by tens of thousands of Amazon builders and business teams to identify and address their privacy obligations.

This role will identify opportunities, research problems, and guide the creation of products that help automate that privacy work done by teams across the company. To do so, you will work very closely with our engineering and product teams, as well as other applied scientists and privacy specialists.

Our teams, based in the US and Europe, own the systems that map where personal data exists across the company, how it is used, and any associated obligations. We also own the products that builders use to address obligations. We apply data classification, natural language processing and other techniques to solve these problems at scale (hundreds-of-thousands of systems, millions of connections, exabytes of data).

Key job responsibilities

• Gain an understanding of current business challenges and identify opportunities to use science-based approaches.
• Partner with engineers and product managers
• Collaborate with engineers and product managers to create experiments and prototypes that lead to further investment and development
• Collaborate on designs and support engineers as your ideas move from prototype to production
• Measure and monitor your models to ensure ongoing performance
• Document and share your findings with engineers, product managers, other scientists and our wider organization.

About the team

Our team members are based on Austin, Romania and Seattle. We're on a mission to make privacy effortless for builders while continuing to meet our customer's high expectations for privacy and control. As a central team, we partner with a wide range of teams including Alexa, Security, Builder Tools and Customer Service to name a few.

We are passionate about what we do and work hard, but we are in this for the long haul, so keeping harmony and flexibility with our lives beyond work is important to all of us.

BASIC QUALIFICATIONS

• 3+ years of building machine learning models 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 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 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.