Machine Learning Engineer, Revenue+, Level 5

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc.,

a wholly‑owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services. Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snap chatters around the world, every day. We’re deeply committed to the well‑being of everyone in our global community, which is why our values are at the root of everything we do.

We move fast, with precision, and always execute with privacy at the forefront. We’re looking for a founding Machine Learning Engineer to join the Revenue+ team and help establish machine learning as a core capability for subscription growth and monetization across Snapchat+ subscription. You’ll work on problems such as personalized paywalls, offer decisioning, retention, lifecycle optimization, and subscriber value, with direct and measurable impact on revenue.

• Identify high-value opportunities where machine learning can improve subscription growth, monetization, retention, and subscriber value
• Design, build, and deploy ML systems for personalization, ranking, propensity modeling, offer decisioning, and lifecycle optimization
• Own the full path from ambiguous business problem and data exploration through experimentation, production deployment, measurement, and iteration
• Establish technical direction and best practices for a new Revenue+ ML capability
• Partner closely with Product, Data Science, Backend, and Mobile Engineering to shape product strategy and prioritize ML investments
• Build reliable, observable, scalable production ML systems serving Snap chatters at significant scale
• Utilize AI tools to design and ship scalable services while upholding rigorous standards for code correctness, security, and production

• Strong understanding of machine learning and software engineering foundations
• Strong product and business judgment, with the ability to identify where ML can create measurable incremental value
• Experience with ranking, recommendation, personalization, propensity modeling, decisioning, or related product ML systems
• Ability to independently turn ambiguous business problems into concrete ML opportunities and technical plans
• Ability to operate with substantial autonomy and take end-to-end technical ownership
• Strong collaboration and mentorship skills
• Proficiency in, or a strong aptitude for, leveraging AI tools to streamline development, paired with the critical judgment to audit generated output for architectural integrity, performance bottlenecks, and security risks

• Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience
• 5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience
• Experience developing and product ionizing machine learning systems for ranking, recommendation, personalization, propensity modeling, decisioning, monetization, retention, or other relevant product ML applications
• Experience taking ML systems from ambiguous problem statements through experimentation and into production

• Advanced degree in computer science or related…