Principal Machine Learning Engineer, Signals and Measurement

Snap Inc.

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

Posted 9/30/2026full-timeUnited StatesLead💰 $235,000 - $414,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing, developing, and optimizing machine learning models, particularly for recommendation and ranking use cases. Proven ability to collaborate across teams and influence machine learning strategies to enhance organizational performance.

Highest-signal resume keywords

Machine Learning ExperienceTensorFlowPyTorchModel OptimizationCollaboration Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningModel DevelopmentSoftware DesignProgramming SkillsRecommendation SystemsRanking AlgorithmsCausal MeasurementAnomaly DetectionAttribution Methodologies

Soft Skills

CollaborationMentorshipProblem SolvingLeadershipAdaptability

Industry Keywords

Online AdvertisingAd TargetingMarketplace OptimizationCross-Functional CollaborationAI Publications

Tech Stack

Tools & technologies

PyTorchTensorflow

About the role

Key responsibilities & impact

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 supporting Snap's monetization strategies
Collaborate with cross-functional teams to set and align on machine learning strategies to meet company objectives
Stay current with machine learning technology and apply it to complex problems
Collaborate with leadership to improve the ML technology stack and organizational performance
Work across teams to understand product requirements, evaluate trade-offs, and deliver solutions for innovative products or services
Advocate for and apply best practices in availability, scalability, operational excellence, and cost management
Provide technical direction influencing the entire ML community

Requirements

What you’ll need

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, including applications to advertising measurement, recommendation, and/or search
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
Preferred: experience with signals and measurement stack, identity resolution, anomaly detection or causal measurement
Preferred: familiarity with attribution and advanced measurement methodologies
Preferred: experience in online advertising, including ad targeting, ranking, auction, and/or marketplace optimization
Preferred: advanced degree in a related field
Preferred: experience partnering with cross-functional executives and management across a globally distributed organization
Preferred: track record of delivery in rapidly changing, highly collaborative, multi-site, multi-stakeholder environments
Preferred: experience working with a diverse group of engineers
Preferred: experience contributing to AI publications

Benefits

Comp & perks

Paid parental leave
Comprehensive medical coverage
Emotional and mental health support programs
Compensation packages including equity in the form of RSUs
Default together approach with in-office work 4+ days per week