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Tech Stack
Tools & technologiesPyTorchScikit-LearnSparkTensorflow
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 to design and ship scalable services while upholding rigorous 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+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years 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
- 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
- Experience working with machine learning, ranking infrastructures, and system design
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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine LearningRanking AlgorithmsRecommendation SystemsContent UnderstandingImage GenerationSystem DesignData Analysis
Certifications
Bachelor's Degree in Computer ScienceMaster's Degree in Technical FieldPhD in Relevant Technical Field