Machine Learning Engineer, Level 5

SNAP/SNAP

Machine Learning Engineer at Snap Inc. building and deploying ML models for core products serving millions of users.

Posted 7/7/2026full-timePalo Alto • California, New York, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $209,000 - $313,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying machine learning models across various applications, with a strong focus on the full ML lifecycle from data analysis to production deployment. Proficient in utilizing modern ML frameworks and tools to deliver scalable, secure, and high-quality solutions.

Highest-signal resume keywords

Machine Learning Model DevelopmentTensorFlowPyTorchData AnalysisCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningRanking AlgorithmsRecommendation SystemsContent UnderstandingImage GenerationSystem DesignData Analysis

Tools & Technologies

TensorFlowCaffe2PyTorchSpark MLScikit-learn

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in Technical FieldPhD in Relevant Technical Field

Industry Keywords

Machine Learning LifecycleAI ToolsProduction DeploymentCode CorrectnessSecurity Standards

Tech Stack

Tools & technologies

PyTorchScikit-LearnSparkTensorflow

About the role

Key responsibilities & impact

Build and deploy machine learning models that power core products, serving millions of Snapchatters
Apply modern ML techniques to solve large-scale, real-world problems
Own the full ML lifecycle from data analysis to production deployment
Partner with cross-functional teams to prototype and launch ML-driven features
Utilize AI tools to design and ship scalable services while upholding rigorous standards for code correctness, security, and production

Requirements

What you’ll need

Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience
5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience
Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning
Advanced degree in computer science or related field (preferred)
Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
Experience working with machine learning, ranking infrastructures, and system design

Benefits

Comp & perks

paid parental leave
comprehensive medical coverage
emotional and mental health support programs
compensation packages that let you share in Snap’s long-term success