Snap Inc.-posted 10 months ago
$276,000 - $414,000/Yr
Full-time • Senior
Los Angeles, CA
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

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 Principal Machine Learning Engineer to join the Ad Ranking team at Snap!

  • 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 ads
  • Design, implement, and scale critical machine learning models to support Snap's monetization strategies
  • Collaborate with cross-functional teams to set and align on machine learning strategies to meet company objectives
  • Stay up-to-date with the latest technology in machine learning and apply this knowledge to tackle complex problems in innovative ways
  • Collaborate with leadership to up-level the ML tech stack and improve the performance of the organization
  • Work across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to build innovative products or services
  • Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management
  • Provide technical direction that influences the entire ML community
  • Bachelor's in a technical field such as computer science, mathematics, statistics or equivalent years of experience
  • 9+ years of industry machine learning experience
  • 2+ years of experience as a technical lead
  • Experience developing and shipping performant and scalable machine learning models for recommendation or ranking use cases
  • Experience with TensorFlow, PyTorch, or related deep learning frameworks
  • 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 mathematics
  • Experience partnering with cross-functional executives and management across a globally distributed organization and exercising sound judgment
  • Track record of delivery in rapidly changing, highly collaborative, multi-site, multi-stakeholder environments
  • Experience working with a diverse group of engineers
  • Experience contributing to AI publications
  • Paid parental leave
  • Comprehensive medical coverage
  • Emotional and mental health support programs
  • Compensation packages that let you share in Snap's long-term success
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