Twitter is what’s happening and what people are talking about right now. For us, life's not about a job, it's about purpose. We believe real change starts with conversation. Here, your voice matters. Come as you are and together we'll do what's right (not what's easy) to serve the public conversation.

The Privacy Tooling Engineering team is chartered to build tools and services that enable seamless privacy implementation across Twitter products, services, and platforms in the most efficient and productive fashion. The team works to ensure that Twitter builds products and systems which respect users and keep our promises (and regulatory obligations). This team innovates the idea of privacy tooling and services anticipating current and future needs, providing our product engineers the ability to respect privacy while improving the Twitter user experience.

This team is responsible for building tools and infrastructure that classify the data using sophisticated ML Models and identify anomalies in the system using auditing frameworks with the goal of ensuring that we respect the privacy of our customers as the foundational principle.

As a Software Engineer, you will have the opportunity to design and build tools and frameworks to support the diverse needs of how we respect customer privacy. We place emphasis on becoming more efficient, reducing risk to the organization, and respectfully meeting our customer obligations. You will work closely with a variety of teams including Privacy Engineering, Product Management, Legal, Data Governance and others.

You should be comfortable in uncharted territory as we build unique privacy tooling and frameworks to drive user trust. We need your skills and enthusiasm to make it happen. You will enjoy pursuing novel, ambiguous problems, collaborating with a variety of diverse partners, and will bring a strong learning orientation.

• B.S. and/or M.S. in Computer Science or a related technical field, or equivalent experience
• Knowledgeable about core CS concepts such as: common data structures and algorithms
• Have proficiency with at least one of the following languages: Scala, Java, and/or any JVM based language
• Have experience working on full stack products
• Comfortable dealing with ambiguity