Machine Learning Engineer (Revenue+)

• 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
• 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

Benefits

• Up to 28 weeks of parental leave and return-to-work program
• Adoption, surrogacy, infertility, and fertility preservation benefits
• Backup child care coverage, center-based care support, & caregiver assistance
• Dependent Daycare Flexible Spending Account
• Services to support your path to parenthood & beyond - fertility support & family planning via Carrot, SNOO, Hinge Health
• Lactation rooms (based on office location) and breastmilk shipping coverage
• Short-term disability, long-term disability, basic life insurance, and AD&D insurance
• For Snap, employees taking care of loved ones with complex, chronic, or ongoing care needs (i.e. parent with Dementia, spouse with Cancer, child with Autism), your family can save time, money, & stress with Wellthy
• Comprehensive medical coverage, including PPO, HDHP with HSA, and HMO options
• Dental coverage, including orthodontia benefits
• Vision coverage, including frame and contact allowance and LASIK benefits
• Free membership to One Medical for primary and urgent healthcare services
• Business Travel Insurance
• Gym perks and discounts
• Team fitness classes and races
• Sports leagues
• Cooking and nutritional workshops
• Well-being reimbursement
• Unlimited access to virtual physical therapy with Anthem
• 15 sessions per year of mental health for you + dependents through Lyra
• Generous time off and leave programs. In the US, this includes the following:
• Up to 3 weeks (120 hours) of vacation time and 1 floating holiday for non-exempt team members
• 15 sick and safe days per year
• 12 paid holidays per year
• Social gatherings, team outings, and volunteering programs
• Speaker series, classes, and subscriptions to educational programs
• Meditation and yoga classes
• Snap Inc. provides a 401(k) plan that allows you to save on a pre-tax, Roth, and after-tax basis for your retirement (yes, we even have the Mega backdoor option!) Snap will also match 100% up to 3% of your contribution and then 50% on your 4th and 5th%
• Flexible Spending Accounts for healthcare, daycare and commuter
• Health Savings Account with employer contributions
• Rocket Lawyer memberships
• Financial education programs
• Snap exclusive discounts and perks
• Compensation packages that let you share in Snap’s long-term success!- Experience with ranking, recommendation, personalization, propensity modeling, decisioning, or related product ML systems
• Strong understanding of machine learning and software engineering foundations
• 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
• 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 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
• 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
• Bachelor’s Degree in a relevant technical field such as computer science or equivalent years of practical work experience
• Advanced degree in computer science or related field
• Experience with subscription, monetization, pricing, offers, retention, or lifecycle optimization
• Experience with causal inference, uplift modeling, experimentation, customer lifetime value, or incremental impact measurement
• Experience of extensive collaboration with Backend and Mobile SWEs
• 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 environment requiring broad technical and product ownership