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# Principal Machine Learning Engineer, Signals and Measurement

- **Company:** Snap Inc.
- **Location:** Palo Alto, CA, United States
- **Salary:** $276,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Computer Programming, Machine Learning, Tensorflow, Software Engineering, Pytorch, Deep Learning, Information Technology, Machine Learning Operations, User Identification
- **Published:** October 1, 2026
- **Apply:** https://dejobs.org/x/x/CDA40C6A70294095BACAF0C03E906A51/job/

## About the Role

* Strong understanding of machine learning and deep learning approaches and algorithms, and their applications to advertising measurement, recommendation, and/or search domain
 * Experience setting the direction for a team whose primary output is online ranking / recommendation models
 * 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, * Bachelor's in a technical field such as computer science, mathematics, statistics or equivalent years of experience
 * 11+ years of industry machine learning experience
 * 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

Preferred Qualifications:

 * Experience with signals and measurement stack, identity resolution, anomaly detection or causal measurement
 * Familiar with attribution and advanced measurement methodologies
 * 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

## Description

* Design and develop machine learning systems across the third-party signal lifecycle, from acquisition and curation to matching, attribution, and causal measurement
 * 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


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