Machine Learning Decisioning Engineer Jobs

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Machine Learning Engineer, Revenue+

Snapchat New York, NY

New York, NY

Today

$178k - $313k/yr Full time Growth, Retention & Monetization Machine Learning Machine Learning Decisioning

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Job Description

Snap is seeking a founding Machine Learning Engineer for the Revenue+ team in New York, NY. This role will establish machine learning as a core capability to support subscription growth and monetization across Snapchat+ subscriptions, with end-to-end responsibility from problem framing through production and measurement.

Key Responsibilities

Locate high-impact opportunities where machine learning can improve subscription growth, monetization, retention, and subscriber value
Design, build, and deploy machine learning systems for personalization, ranking, propensity modeling, offer decisioning, and lifecycle optimization
Drive the complete workflow from ambiguous business needs and data exploration to experimentation, production deployment, measurement, and iterative improvement
Set technical direction and establish best practices for a new Revenue+ machine learning capability
Collaborate closely with Product, Data Science, Backend Engineering, and Mobile Engineering to shape product strategy and prioritize machine learning investments
Develop production-grade machine learning systems that are reliable, observable, and scalable for serving Snapchatters at significant scale
Use AI tools to design and ship scalable services while maintaining rigorous standards for code correctness, security, and production readiness

Required Qualifications

Strong understanding of machine learning and software engineering fundamentals
Strong product and business judgment, including the ability to identify where machine learning can deliver measurable incremental value
Experience with ranking, recommendation, personalization, propensity modeling, decisioning, or related product machine learning systems
Ability to translate ambiguous business challenges into concrete machine learning opportunities and technical plans
Ability to work with substantial autonomy and take end-to-end technical ownership
Strong collaboration and mentorship skills
Proficiency in, or strong aptitude for, leveraging AI tools to streamline development, plus the judgment to audit outputs 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 plus 4+ years of post-grad machine learning experience, or PhD in a relevant technical field plus 1 year 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 machine learning applications
Experience taking machine learning systems from ambiguous problem statements through experimentation and into production

Benefits

Paid parental leave
Comprehensive medical coverage
Emotional and mental health support programs
Compensation packages

Preferred Qualifications

Advanced degree in computer science or a related field
Experience with subscription, monetization, pricing, offers, retention, or lifecycle optimization
Experience collaborating extensively with Backend and Mobile Software Engineers
Experience with causal inference, uplift modeling, experimentation, customer lifetime value, or incremental impact measurement
Experience optimizing machine learning systems against business or revenue outcomes
Experience operating production machine learning systems at significant scale
Experience as an early or founding machine learning engineer, or in an environment requiring broad technical and product ownership

Work Location and Schedule

DEFAULT TOGETHER POLICY AT SNAP: Expect team members to work in an office 4+ days per week.

Compensation

Zone A (CA, WA, NYC): $209,000 to $313,000 base salary annually
Zone B: $199,000 to $297,000 base salary annually
Zone C: $178,000 to $266,000 base salary annually

This position is eligible for equity in the form of RSUs.

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