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Machine Learning Engineer, Level 4

Snap Inc.· Engineering
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Hybrid (Bellevue; Los Angeles; New York; Palo Alto; San Francisco)$173k - $259kFull timePosted 2w ago

About the role

Machine Learning Engineer role at Snap Inc. focusing on building and deploying ML models for core products, owning the full ML lifecycle, and collaborating with cross-functional teams in a fast-paced environment.

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 and high velocity engineering workflows to design and ship scalable services while upholding rigorous standards for code correctness, security, and production ready quality code

Qualifications

  • 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+ year 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

Skills

Required:Machine LearningProject ManagementCross-functional CollaborationProblem SolvingAI Tools & Evaluation

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
Company profileWebsite

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