Principal Machine Learning Engineer, Ad Marketplace, Level 7

We're looking for a Principal Machine Learning Engineer to join the Ad Marketplace team at Snap!

What you'll do:

• Drive the technical roadmap of our Ad Marketplace and Pacing teams, advancing 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.

• Strong understanding of machine learning and deep learning approaches and algorithms, and their applications to advertising, recommendation, and/or search domain.

• Experience leading teams or roadmaps focused on recommendation, personalization, or generative AI.

• Ability to design, train, deploy, and optimize state-of-the-art machine learning models for performance, reliability, and scale.

• Excellent programming and software engineering skills, with an emphasis on clean design and production-readiness.

• Ability to quickly learn new technologies and apply them effectively in ambiguous problem spaces.

• Skilled at solving ambiguous problems and leading and executing complex technical initiatives.

• Strong collaboration, communication, and mentorship abilities.

Minimum Qualifications:

• 9+ years of post-Bachelor's machine learning experience; or a Master's degree in a technical field + 8+ year of post-grad ML experience; or a PhD in a related technical field + 5+ years of post-grad ML experience.

• 2+ years of experience with technical leadership or acting as the domain-expert to a technical organization.

• Experience developing and shipping performant and scalable machine learning models for recommendation or ranking use cases.

Preferred Qualifications:

• Advanced degree in a related field such as machine learning, computer vision, or mathematics.

• Experience in online advertising (including ad ranking, auction, marketplace optimization) or other online two-sided markets (e.g., job markets and matching).

• Experience with TensorFlow, PyTorch, or related deep learning frameworks.

• Track record of delivery in rapidly changing, highly collaborative, multi-site, multi-stakeholder environments.

• Experience contributing to AI publications.

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) (https://careers.snap.com/us-payzones) :

The base salary range for this position is $276,000-$414,000 annually.

Zone B (https://careers.snap.com/us-payzones) :

The base salary range for this position is $262,000-$393,000 annually.

Zone C (https://careers.snap.com/us-payzones) :

The base salary range for this position is $235,000-$352,000 annually.

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

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