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Snap Inc.

Machine Learning Engineer – Level 5

Snap Inc.

Machine Learning Engineer at Snap focusing on building and deploying ML models for core features. Working collaboratively with teams to solve real-world ML problems and enhance user experiences.

Posted 7/6/2026full-timePalo Alto • California, New York, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $209,000 - $313,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in building and deploying machine learning models, managing the full ML lifecycle, and collaborating with cross-functional teams to deliver scalable AI-driven solutions. Proficient in applying modern ML techniques to address complex, real-world challenges.

Highest-signal resume keywords
Machine Learning Model DevelopmentFull ML Lifecycle ManagementData AnalysisAI Tools UtilizationCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Machine LearningData AnalysisModel DeploymentRanking AlgorithmsRecommendation SystemsSearch AlgorithmsContent UnderstandingImage GenerationStatistical AnalysisProgramming
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in Technical FieldPhD in Relevant Technical Field
Industry Keywords
Machine LearningAIScalable ServicesCode CorrectnessSecurity Standards

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

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