Principal Machine Learning Engineer, Signals and Measurement

Snap Inc. • Los Angeles, CA

6d • $235,000 - $414,000 • Hybrid

About The Position

Snap Inc. is a technology company focused on improving communication through its camera-centric products. The company operates Snapchat, Bitmoji, Saturn, and other digital services. The Engineering teams at Snap build technically sophisticated products used by hundreds of millions of users globally. The company values privacy, speed, and precision. This role is for a Principal Machine Learning Engineer on the Signals & Measurement team.

Requirements

• 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.
• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• Paid parental leave
• Comprehensive medical coverage
• Emotional and mental health support programs
• Compensation packages that let you share in Snap’s long-term success (equity in the form of RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Principal