Founding ML Engineer, Revenue+ Personalization

SNAP, Inc.; New York (NY); On-site; USD 180,000 - 300,000; Full time

Benefits offered by this job

Parental leave

Fertility support

Back-up child care

Health insurance

401(k) with company match

Well-being programs

Gym discounts

Mental health support

Education subscriptions

Job summary

SNAP, Inc. is seeking a founding Machine Learning Engineer for the Revenue+ team to establish ML as a core capability for subscription growth, monetization, and the Snapchat+ product.

You will design, build, and deploy ML systems for personalization, ranking, propensity modeling, and lifecycle optimization, owning the path from problem to production while partnering with Product, Data Science, Backend, and Mobile teams to drive measurable revenue impact.

Qualifications

• Experience with ranking, recommendation, personalization, propensity modeling, decisioning, or related product ML systems
• Strong understanding of machine learning and software engineering foundations
• Proficiency in leveraging AI tools to streamline development, with the ability to audit generated output for architectural integrity, performance bottlenecks, and security risks
• Ability to operate with substantial autonomy and take end-to-end technical ownership
• Ability to independently turn ambiguous business problems into concrete ML opportunities and technical plans
• Strong collaboration and mentorship skills
• Strong product and business judgment, with the ability to identify where ML can create measurable incremental value
• Experience developing and productionizing machine learning systems for monetization, retention, or other relevant product ML applications
• Experience taking ML systems from ambiguous problem statements through experimentation and into production
• 5+ years of post-Bachelor’s ML experience; or Master’s +4; or PhD +1
• Bachelor’s Degree in CS or related field; Advanced degree preferred

Responsibilities

• Identify high-value opportunities where ML 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

Skills

ML engineering

Ranking systems

Recommendation

Personalization

Propensity modeling

Decisioning

Experimentation

End-to-end ownership

Autonomy

Education

Bachelor's Degree in CS or related field

Advanced degree (MS/PhD) in CS or related field

Job description

SNAP, Inc. is seeking a founding Machine Learning Engineer for the Revenue+ team to establish ML as a core capability for subscription growth, monetization, and the Snapchat+ product.

You will design, build, and deploy ML systems for personalization, ranking, propensity modeling, and lifecycle optimization, owning the path from problem to production while partnering with Product, Data Science, Backend, and Mobile teams to drive measurable revenue impact.