Principal Machine Learning Engineer (Adtech)

TL;DR

Principal Machine Learning Engineer (Adtech): Driving the technical roadmap for the Ad Marketplace and Pacing teams, advancing system sophistication to optimize ad spend and delivery. Focus on designing, implementing, and scaling machine learning models and control systems to efficiently run the ad marketplace and influence the broader ML community.

Location: Hybrid, requiring 4+ days in office weekly (Bellevue, Los Angeles, New York, Palo Alto, San Francisco, Seattle, USA)

Salary: $276,000-$414,000 annually

Company

Snap Inc. is a technology company focused on improving communication through camera-based products like hirify.global, Lens Studio, and Spectacles.

What you will do

• Drive the technical roadmap for the Ad Marketplace and Pacing teams, advancing system sophistication, optimizing ad spend, and increasing auction efficiency.
• Design, implement, and scale machine learning models and control systems for optimal ad marketplace operation.
• Collaborate with cross-functional teams to align on machine learning strategies that meet company objectives.
• Stay up-to-date with the latest ML technology and apply this knowledge to solve complex problems.
• Work with teams to understand product requirements, evaluate trade-offs, and deliver innovative solutions.
• Advocate for and apply best practices in availability, scalability, operational excellence, and cost management.

Requirements

• 9+ years of post-Bachelor’s machine learning experience (or Master’s + 8+ years, or PhD + 5+ years).
• 2+ years of experience with technical leadership or acting as a domain expert.
• Experience developing and shipping performant and scalable machine learning models for recommendation or ranking use cases.
• Strong understanding of machine learning and deep learning approaches and algorithms applicable to advertising, recommendation, or search domains.
• 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, emphasizing clean design and production-readiness.

Nice to have

• Advanced degree in machine learning, computer vision, or mathematics.
• Experience in online advertising (ad ranking, auction, marketplace optimization) or other two-sided online markets.
• Experience with TensorFlow, PyTorch, or related deep learning frameworks.
• Track record of delivery in rapidly changing, highly collaborative, multi-site environments.

Culture & Benefits

• Practice a “default together” approach, expecting team members to work in an office 4+ days per week.
• Comprehensive benefits built around individual needs, including paid parental leave and medical coverage.
• Emotional and mental health support programs provided.
• Compensation packages that allow sharing in Snap’s long-term success through equity (RSUs).
• Committed to providing employment opportunities regardless of race, creed, color, national origin, or other protected classification.