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Machine Learning Engineer, Revenue+, Level 5

Snap Inc.· Revenue+
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Hybrid (New York, NY)$209k - $313kFull timePosted 2w ago

About the role

Founding ML Engineer for the Revenue+ team at Snap, focusing on ML-driven subscription growth, monetization, and retention for Snapchat+. Roles include designing and deploying ML systems for personalization, offer decisioning, lifecycle optimization, and subscriber value with end-to-end ownership.

Responsibilities

  • 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 Snapchatters at significant scale
  • Utilize AI tools to design and ship scalable services while upholding rigorous standards for code correctness, security, and production

Qualifications

  • 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 productionizing 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

Skills

Required:Machine learning fundamentalsProduct and business judgmentRanking / Recommendation / Personalization / Propensity modeling

Benefits

  • Paid parental leave
  • Comprehensive medical coverage
  • Emotional and mental health support programs
  • Compensation packages that include long-term equity opportunities
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Snap Inc.

We contribute to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

We believe the camera presents the greatest opportunity to improve the way people live and communicate.

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