Machine Learning Engineer, Revenue+, Level 5

Location: New York

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.

What you’ll do:

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

Knowledge, Skills & Abilities:

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

Minimum Qualifications:

Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience5+ 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

Preferred Qualifications:

Advanced degree in computer science or related…