Machine Learning Engineer, Level 3

Snap Inc.

. Build and deploy machine learning models for core Snapchat products .

Posted 10/1/2026full-timeUnited StatesJunior💰 $100,000 - $176,000 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 collaborating with cross-functional teams to implement scalable AI-driven solutions while maintaining high standards for code quality and security.

Highest-signal resume keywords

Machine Learning Model DevelopmentTensorFlowPyTorchData AnalysisCollaboration Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningModel TrainingModel EvaluationRanking AlgorithmsRecommendation SystemsContent UnderstandingImage GenerationSystem DesignMachine Learning FrameworksAI Tools

Soft Skills

Problem SolvingAdaptabilityMentorship SkillsCollaboration

Tools & Technologies

Caffe2Spark MLScikit-learn

Certifications & Qualifications

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

Industry Keywords

Machine Learning LifecycleCross-Functional CollaborationProduction DeploymentCode CorrectnessHigh Velocity Engineering

Tech Stack

Tools & technologies

PyTorchScikit-LearnSparkTensorflow

About the role

Key responsibilities & impact

Build and deploy machine learning models for core Snapchat products
Apply established ML techniques to solve well-defined, real-world problems
Contribute to the ML lifecycle, including data analysis, model training, evaluation, and production deployment
Collaborate with cross-functional partners and teammates to implement 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
1+ years of post-Bachelor’s machine learning experience; or Master’s degree 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
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
Advanced degree in computer science or related field (preferred)
Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks (preferred)
Experience working 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 you share in Snap’s long-term success
Equity in the form of RSUs