Machine Learning Engineer

SNAP/SNAP

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

Posted 10/1/2026full-timeUnited StatesJunior💰 $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, 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 DevelopmentMachine Learning FrameworksAI Tools ProficiencyCollaboration and MentorshipProblem Solving

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData AnalysisAlgorithmsRankingRecommendationsSearchContent UnderstandingImage GenerationSystem DesignProduction Deployment

Soft Skills

CollaborationMentorshipAdaptabilityIndependenceCritical Judgment

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 SystemsProduction StandardsSecurity RisksPerformance Bottlenecks

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 through production deployment
Partner with cross-functional teams to prototype and launch machine-learning-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-grad machine learning experience; or PhD in a relevant technical field + 1 year 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
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 a strong aptitude for, leveraging AI tools to streamline development, 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
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