Machine Learning Engineer – Level 4

SNAP/SNAP

Machine Learning Engineer developing and deploying machine learning models for core products at Snap. Collaborating with teams to solve large-scale real-world problems using modern ML techniques.

Posted 7/7/2026full-timePalo Alto • California, New York, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $173,000 - $259,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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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 leveraging AI tools and modern engineering practices while ensuring code quality and security.

Highest-signal resume keywords

Machine Learning Model DevelopmentFull ML Lifecycle ManagementAI Tools ProficiencyCollaboration and MentorshipProblem Solving

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData AnalysisAlgorithmsRanking ModelsRecommendation SystemsSearch ApplicationsContent UnderstandingImage GenerationCode CorrectnessProduction Deployment

Soft Skills

CollaborationMentorshipAdaptabilityProblem SolvingPrioritization

Tools & Technologies

AI ToolsHigh Velocity Engineering Workflows

Certifications & Qualifications

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

Industry Keywords

Machine Learning TechniquesScalable ServicesCode SecurityProduction Ready Quality Code

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 and high velocity engineering workflows to design and ship scalable services while upholding rigorous standards for code correctness, security, and production ready quality code

Requirements

What you’ll need

Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience
3+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field
Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning
Strong understanding of machine learning approaches and algorithms
Able to prioritize duties and work well on your own
Ability to work with both internal and external partners
Skilled at solving open ambiguous problems
Strong collaboration and mentorship skills
Proficiency in, or a strong aptitude for, leveraging AI tools to streamline development, paired with the critical judgment to audit generated output for architectural integrity, performance bottlenecks, and security risks.
Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of engineering trends and modern development practices.

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!