Principal Machine Learning Engineer, Ad Ranking at Snap Inc.
Join Snap Inc., a leading technology company dedicated to revolutionizing communication and self-expression through innovative camera products. Our mission is to empower people to live in the moment, learn about the world, and have fun together. Discover our core products: Snapchat, a visual messaging app; Lens Studio, an augmented reality platform; and Spectacles, our AR glasses.
About the Role
We are seeking a Principal Machine Learning Engineer to join the Ad Ranking team at Snap! In this role, you will drive the technical roadmap, advance the core ML capabilities of the ad optimization stack, and support various business verticals including app/web monetization and dynamic product ads.
Key Responsibilities
- 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 innovatively.
- Work with leadership to enhance the ML tech stack and improve overall organizational performance.
- Understand product requirements, evaluate trade-offs, and deliver innovative solutions.
- Ensure best practices for availability, scalability, operational excellence, and cost management.
- Provide technical direction to influence the entire ML community at Snap.
Required Skills & Abilities
- Strong understanding of machine learning, deep learning approaches, and algorithms, especially in advertising, recommendation, and search domains.
- Experience leading a team focused on online ranking/recommendation models.
- Proficiency in designing, training, and optimizing advanced machine learning models.
- Excellent programming and software design skills.
- Ability to learn new concepts and technologies proactively and apply them effectively.
- Strong problem-solving skills and experience in leading complex technical initiatives.
- Excellent collaboration and mentorship abilities.
Minimum Qualifications
- Bachelor's degree in Computer Science, Mathematics, Statistics, or equivalent experience.
- 11+ years of industry experience in machine learning.
- Experience in developing and shipping scalable machine learning models for recommendation or ranking use cases.
- Proficiency with TensorFlow, PyTorch, or related deep learning frameworks.
Preferred Qualifications
- Experience in online advertising including ad targeting, ranking, auction, or marketplace optimization.
- Advanced degree in Machine Learning, Computer Vision, or Mathematics.
- Experience working with cross-functional executives and management within a global organization.
- Proven track record of delivering results in a dynamic and collaborative environment.
- Experience working with a diverse group of engineers.
- Contributions to AI publications.
Our Commitment and Benefits
At Snap Inc., diversity and inclusion aren't just buzzwords—they are vital to our success and innovation. We are proud to be an equal opportunity employer and committed to providing equal employment opportunities regardless of race, creed, color, national origin, disability, gender, sexual orientation, or any other protected classification.
We practice a "Default Together" policy, emphasizing in-person work to foster collaboration, culture, and dynamic partnerships. Our employees work in the office 4+ days per week.
Our benefits are comprehensive and designed to support your well-being and success, including paid parental leave, medical coverage, mental health support, and compensation packages with equity options.
Compensation
Snap Inc. offers competitive pay based on job-related skills, experience, qualifications, work location, and market conditions. The salary ranges are as follows:
- Zone A (CA, WA, NYC): $244,000 - $366,000 annually.
- Zone B: $232,000 - $348,000 annually.
- Zone C: $208,000 - $311,000 annually.
This position is also eligible for equity in the form of RSUs.
If you need accommodation due to a disability, please let us know.
Join us at Snap Inc.