Manager, Machine Learning Engineering, Content Ranking

Manager, Machine Learning Engineering, Content Ranking

Join to apply for the Manager, Machine Learning Engineering, Content Ranking role at Snap Inc.

Company Overview

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’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles. 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 Machine Learning Engineering Manager to join the Content Ranking team at Snap!

What you’ll do :

• Lead a team of machine learning engineers and software engineers in developing and optimizing our personalized video recommendation engine
• Define the overall architecture of the content recommender system, ensuring scalability, performance, and reliability
• Drive rapid iteration without compromising quality : work closely with infrastructure engineers to build robust machine learning infrastructure to support the recommender system
• Evaluate the technical tradeoffs in key decision-making processes to ensure optimal outcomes : conduct A / B testing and analyze performance metrics to continuously improve the recommender system
• Perform design and code reviews to raise the technical excellence bar

Knowledge, Skills & Abilities :

Minimum Qualifications :

Preferred Qualifications :

Experience working with machine learning, ranking infrastructures, and system designs

EEO Statement

Snap is proud to be an equal opportunity employer, and is committed to providing employment opportunities regardless of race, religion, creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth, 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).

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 $229,000-$343,000 annually.

Zone B :

The base salary range for this position is $218,000-$326,000 annually.

Zone C :

The base salary range for this position is $195,000-$292,000 annually.

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

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