Machine Learning Engineer, Level 5
Snap Inc.· Engineering
Hybrid (Bellevue; Los Angeles; New York; Palo Alto; San Francisco)$178k - $313kFull timePosted 2w ago
About the role
Machine Learning Engineer role at Snap Inc. focusing on building and deploying ML models to power core products, managing the full ML lifecycle, and collaborating with cross-functional teams, with an emphasis on scalable, secure production-grade systems and use of AI tools.
Responsibilities
- 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
Qualifications
- 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 ML experience; or PhD in a relevant technical field + 1 year of post-grad ML experience
- Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning
Skills
Required:Machine learning algorithms and approachesAbility to work independentlyCross-functional collaborationProblem solving in ambiguous contextsAI tools to streamline development
Nice to have:Mentorship and collaboration
Benefits
- Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Snap Inc.
We contribute to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.
We believe the camera presents the greatest opportunity to improve the way people live and communicate.
cameramessagingsocial mediaARAI
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