Machine Learning Engineer, Level 4

SNAP/SNAP

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

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

Highest-signal resume keywords

Machine Learning Model DevelopmentTensorFlow FrameworkAI Tools ProficiencyCollaboration SkillsData Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningAlgorithmsData AnalysisRanking SystemsRecommendationsContent UnderstandingImage GenerationPerformance AuditingSystem DesignProduction Deployment

Soft Skills

CollaborationMentorshipProblem SolvingAdaptabilityPrioritization

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 SystemsHigh-Velocity EngineeringCode 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 machine learning techniques to solve large-scale, real-world problems
Own the full machine learning lifecycle from data analysis to production deployment
Partner with cross-functional teams to prototype and launch machine-learning-driven features
Use AI tools and high-velocity engineering workflows to design and ship scalable services
Uphold rigorous standards for code correctness, security, and production-ready quality

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+ years 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
Proficiency in, or a strong aptitude for, leveraging AI tools to streamline development
Ability to audit generated output for architectural integrity, performance bottlenecks, and security risks
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
Ability 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
Adaptability in learning and applying evolving AI systems and tools
Must work in an office 4+ days per week under Snap’s “default together” policy

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
Equity in the form of RSUs