Machine Learning Decisioning Data Jobs

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Machine Learning Engineer, Revenue+

Snapchat New York, NY

New York, NY

Today

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

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Job Description

Snap is hiring a founding Machine Learning Engineer for the Revenue+ team to build machine learning as a core capability for subscription growth and monetization across Snapchat+.

Responsibilities

Spot high-value use cases 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
Drive end-to-end ownership: turn ambiguous business needs into data exploration, experiments, production deployment, measurement, and iteration
Set technical direction and establish best practices for a new Revenue+ ML capability
Collaborate with Product, Data Science, Backend, and Mobile Engineering to shape product strategy and prioritize ML investments
Build production ML systems that are reliable, observable, and scalable at meaningful service volume for Snapchatters
Use AI tools to accelerate development and delivery while maintaining rigorous standards for code correctness, security, and production quality

Requirements

Strong foundation in machine learning and software engineering
Strong product and business judgment to identify where ML can deliver measurable incremental value
Experience with ranking, recommendation, personalization, propensity modeling, decisioning, or closely related product ML systems
Ability to independently translate ambiguous business problems into concrete ML opportunities and technical plans
Capability to operate with substantial autonomy and take end-to-end technical ownership
Strong collaboration and mentorship skills
Proficiency in leveraging AI tools to streamline development, with critical 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 + 4+ years post-grad ML experience, or PhD + 1 year post-grad ML experience
Experience developing and productionizing ML 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 into production

Preferred Qualifications

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

Benefits

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

Work Location and Policy

Location: New York, NY (onsite)
Office expectation: work in an office 4+ days per week

Compensation

Zone A (CA, WA, NYC): $209,000-$313,000 base salary annually
Zone B: $199,000-$297,000 base salary annually
Zone C: $178,000-$266,000 base salary annually
Eligible for equity in the form of RSUs

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