Machine Learning Engineer, Level 5

Snap Inc.

. Build and deploy machine learning models powering core products and serving millions of Snapchatters .

Posted 10/1/2026full-timeUnited 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, with a strong understanding of algorithms and frameworks. Capable of managing the full machine learning lifecycle and collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Machine Learning Model DevelopmentMachine Learning FrameworksAI Tools ProficiencyCollaboration and MentorshipProblem Solving

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

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

Hard Skills

Machine LearningData AnalysisAlgorithmsRankingRecommendationsContent UnderstandingImage GenerationTensorFlowPyTorchScikit-learn

Soft Skills

CollaborationMentorshipAdaptabilityIndependencePrioritization

Tools & Technologies

Caffe2Spark MLAI Tools

Certifications & Qualifications

Bachelor's DegreeMaster's DegreePhD

Industry Keywords

Machine Learning LifecycleProduction DeploymentCross-Functional TeamsPerformance BottlenecksSecurity Risks

Tech Stack

Tools & technologies

PyTorchScikit-LearnSparkTensorflow

About the role

Key responsibilities & impact

Build and deploy machine learning models powering core products and serving millions of Snapchatters
Apply modern machine learning techniques to large-scale, real-world problems
Own the full machine learning lifecycle from data analysis through production deployment
Partner with cross-functional teams to prototype and launch ML-driven features
Use AI tools to design and ship scalable services while maintaining 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+ years of post-graduate machine learning experience; or PhD in a relevant technical field + 1 year of post-graduate machine learning experience
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
Ability to prioritize duties and work well independently
Ability to work with internal and external partners
Skilled at solving open ambiguous problems
Strong collaboration and mentorship skills
Proficiency in, or strong aptitude for, leveraging AI tools and auditing generated output for architectural integrity, performance bottlenecks, and security risks
Adaptability in learning and applying evolving AI systems and tools
Advanced degree in computer science or related field (preferred)
Experience with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks (preferred)
Experience with machine learning, ranking infrastructures, and system design (preferred)

Benefits

Comp & perks

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