Machine Learning Engineer, Revenue+, Level 5

Snap Inc.; New York, Northern (NY, KY); Híbrido; USD 209.000 - 313.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Paid parental leave

Comprehensive medical coverage

Mental health support

Descripción de la vacante

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

You will own the full lifecycle from problem framing to production deployment, building scalable ML systems for personalization and decisioning. You will work with Product, Data Science, Backend, and Mobile teams to shape strategy and prioritize ML investments, with equity potential and a focus on privacy and security.

Formación

• Bachelor's degree in CS or equivalent practical experience.
• 5+ years of post-Bachelor’s ML experience; or Master’s +4+ years; or PhD +1 year in ML.
• Experience deploying ML systems for ranking, recommendation, personalization, or monetization.

Responsabilidades

• Identify high-value ML opportunities to improve subscription growth and monetization.
• Design, build, and deploy ML systems for personalization, ranking, and lifecycle optimization.
• Own end-to-end path from problem framing to production deployment and metrics.
• Establish direction for a new Revenue+ ML capability.
• Collaborate with Product, Data Science, Backend, and Mobile Engineering.

Conocimientos

Machine learning foundations

Software engineering

Ranking systems

Personalization

Propensity modeling

Experimentation

End-to-end ownership

Collaboration

Educación

Bachelor's Degree in CS

Herramientas

Python

AI tools

Descripción del empleo

Machine Learning Engineer, Revenue+, Level 5

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

The Company operates Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc. , a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji , Saturn, and other digital services.

Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.

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.

What you’ll do:

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

Knowledge, Skills & Abilities:

Strong understanding of machine learning and software engineering foundations

Strong product and business judgment, with the ability to identify where ML can create measurable incremental value

Experience with ranking, recommendation, personalization, propensity modeling, decisioning, or related product ML systems

Ability to independently turn ambiguous business problems into concrete ML opportunities and technical plans

Ability to operate with substantial autonomy and take end-to-end technical ownership

Strong collaboration and mentorship skills

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

Minimum 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

Preferred Qualifications:

Advanced degree in computer science or related field

Experience with subscription, monetization, pricing, offers, retention, or lifecycle optimization

Experience of extensive collaboration 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 environment requiring broad technical and product ownership

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).

Our Benefits : Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

Zone A (CA, WA, NYC) :

The base salary range for this position is $209,000-$313,000 annually.

Zone B :

The base salary range for this position is $199,000-$297,000 annually.

Zone C :

The base salary range for this position is $178,000-$266,000 annually. This position is eligible for equity in the form of RSUs.

If you believe this job description is missing required pay transparency information, please submit a report through this form : Job Description Pay Range Disclosure .