Principal Machine Learning Engineer, Ads Marketplace

4 days ago

Palo Alto, California, United States Snap Inc. Full time
About Snap Inc.

Snap Inc. is a leading technology company that empowers people to express themselves, live in the moment, learn about the world, and have fun together. Our mission is to contribute to human progress by leveraging the power of technology.

Job Summary

We are seeking a highly skilled Principal Machine Learning Engineer to join our Ad Marketplace team. As a key member of our engineering team, you will be responsible for driving the technical roadmap of our Ad Marketplace and Pacing teams, designing and implementing machine learning models, and collaborating with cross-functional teams to set and align on machine learning strategies.

Key Responsibilities
  • Drive the technical roadmap of our Ad Marketplace and Pacing teams, helping advance the sophistication of our systems, optimize ad spend and delivery, and make our auction more efficient.
  • Design, implement, and scale machine learning models and control systems to efficiently and optimally run our ad marketplace.
  • 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.
  • 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.
Requirements
  • Machine learning, including high scale and low latency models.
  • Strong understanding of practical aspects of delivery and optimization systems, including control systems or reinforcement learning, as well as exploration systems.
  • Ability to design, train, and optimize advanced machine learning models.
  • Excellent programming and software design skills.
  • Ability to proactively learn new concepts and technology and apply them at work.
  • Skilled at solving ambiguous problems and leading and executing complex technical initiatives.
  • Strong collaboration and mentorship skills.
Preferred Qualifications
  • 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.
What We Offer

At Snap Inc., we believe in providing our employees with a comprehensive benefits package that includes 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. These pay zones may be modified in the future.

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