Snap Inc.
Principal Machine Learning Engineer, Ad Ranking
Snap Inc., Los Angeles, California, United States, 90079
Principal Machine Learning Engineer, Ad RankingApply Locations:
Please read the following job description thoroughly to ensure you are the right fit for this role before applying.- Los Angeles, California- Seattle - 2025 1st Avenue- Palo Alto - 395 Page Mill RdTime Type: Full timePosted on: Posted YesterdayJob Requisition ID: H224SWEMLA11Snap 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 Principal Machine Learning Engineer to join the Ad Ranking team at Snap!What you’ll do:Drive the technical roadmap of the Ad Ranking team, advance the core ML capabilities of the ad optimization stack, and support various business verticals including app / web monetization and dynamic product adsDesign, implement, and scale critical machine learning models to support Snap's monetization strategiesCollaborate with cross-functional teams to set and align on machine learning strategies to meet company objectivesStay up-to-date with the latest technology in machine learning and apply this knowledge to tackle complex problems in innovative waysCollaborate with leadership to up-level the ML tech stack and improve the performance of the organizationWork across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to build innovative products or servicesAdvocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost managementProvide technical direction that influences the entire ML communityKnowledge, Skills & Abilities:Strong understanding of machine learning and deep learning approaches and algorithms, and their applications to advertising, recommendation, and/or search domainExperience setting the direction for a team whose primary output is online ranking / recommendation modelsAbility to design, train, and optimize advanced machine learning modelsExcellent programming and software design skillsAbility to proactively learn new concepts and technology and apply them at workSkilled at solving ambiguous problems and leading and executing complex technical initiativesStrong collaboration and mentorship skillsMinimum Qualifications:Bachelor's in a technical field such as computer science, mathematics, statistics or equivalent years of experience11+ years of industry machine learning experienceExperience developing and shipping performant and scalable machine learning models for recommendation or ranking use casesExperience with TensorFlow, PyTorch, or related deep learning frameworksPreferred Qualifications:Experience in online advertising, including ad targeting, ranking, auction, and/or marketplace optimization.Advanced degree in a related field such as machine learning, computer vision, or mathematicsExperience partnering with cross-functional executives and management across a globally distributed organization and exercising sound judgmentTrack record of delivery in rapidly changing, highly collaborative, multi-site, multi-stakeholder environmentsExperience working with a diverse group of engineersExperience contributing to AI publicationsIf you have a disability or special need that requires accommodation, please don’t be shy and provide us some
information .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!CompensationIn 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 $244,000-$366,000 annually.Zone B : The base salary range for this position is $232,000-$348,000 annually.Zone C : The base salary range for this position is $208,000-$311,000 annually.This position is eligible for equity in the form of RSUs.
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Please read the following job description thoroughly to ensure you are the right fit for this role before applying.- Los Angeles, California- Seattle - 2025 1st Avenue- Palo Alto - 395 Page Mill RdTime Type: Full timePosted on: Posted YesterdayJob Requisition ID: H224SWEMLA11Snap 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 Principal Machine Learning Engineer to join the Ad Ranking team at Snap!What you’ll do:Drive the technical roadmap of the Ad Ranking team, advance the core ML capabilities of the ad optimization stack, and support various business verticals including app / web monetization and dynamic product adsDesign, implement, and scale critical machine learning models to support Snap's monetization strategiesCollaborate with cross-functional teams to set and align on machine learning strategies to meet company objectivesStay up-to-date with the latest technology in machine learning and apply this knowledge to tackle complex problems in innovative waysCollaborate with leadership to up-level the ML tech stack and improve the performance of the organizationWork across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to build innovative products or servicesAdvocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost managementProvide technical direction that influences the entire ML communityKnowledge, Skills & Abilities:Strong understanding of machine learning and deep learning approaches and algorithms, and their applications to advertising, recommendation, and/or search domainExperience setting the direction for a team whose primary output is online ranking / recommendation modelsAbility to design, train, and optimize advanced machine learning modelsExcellent programming and software design skillsAbility to proactively learn new concepts and technology and apply them at workSkilled at solving ambiguous problems and leading and executing complex technical initiativesStrong collaboration and mentorship skillsMinimum Qualifications:Bachelor's in a technical field such as computer science, mathematics, statistics or equivalent years of experience11+ years of industry machine learning experienceExperience developing and shipping performant and scalable machine learning models for recommendation or ranking use casesExperience with TensorFlow, PyTorch, or related deep learning frameworksPreferred Qualifications:Experience in online advertising, including ad targeting, ranking, auction, and/or marketplace optimization.Advanced degree in a related field such as machine learning, computer vision, or mathematicsExperience partnering with cross-functional executives and management across a globally distributed organization and exercising sound judgmentTrack record of delivery in rapidly changing, highly collaborative, multi-site, multi-stakeholder environmentsExperience working with a diverse group of engineersExperience contributing to AI publicationsIf you have a disability or special need that requires accommodation, please don’t be shy and provide us some
information .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!CompensationIn 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 $244,000-$366,000 annually.Zone B : The base salary range for this position is $232,000-$348,000 annually.Zone C : The base salary range for this position is $208,000-$311,000 annually.This position is eligible for equity in the form of RSUs.
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