Senior ML Engineer — Scale & Deploy AI-Powered Features

Jobtailor; California (MO); On-site; USD 150,000 - 230,000; Full time

Job summary

Snapchat is seeking an experienced machine learning engineer to build and deploy models powering our core features at scale for millions of users.

You will own the full ML lifecycle—from data analysis and experimentation to production deployment—collaborating with product, data science, and engineering teams to prototype, validate, and launch ML-driven experiences while upholding high standards for code quality, security, and reliability.

Qualifications

• Bachelor's degree in computer science or equivalent practical experience.
• 5+ years ML experience post-bachelor's; or MS+4+ years; or PhD+1 year.
• Experience ML for ranking, recommendations, search, content understanding, or image generation.

Responsibilities

• Build and deploy ML models powering core products for millions of users.
• Apply modern ML techniques to large-scale real-world problems.
• Own full ML lifecycle from data analysis to production deployment.
• Collaborate with cross-functional teams to prototype and launch ML features.
• Ensure code correctness, security, and scalable production services.

Skills

Machine Learning

Data Analysis

Model Deployment

Ranking Algorithms

Recommendation Systems

Search Algorithms

Content Understanding

Image Generation

Statistical Analysis

Programming

Education

Bachelor's Degree in Computer Science

Master's Degree in Technical Field

PhD in Relevant Technical Field

Job description

Snapchat is seeking an experienced machine learning engineer to build and deploy models powering our core features at scale for millions of users.

You will own the full ML lifecycle—from data analysis and experimentation to production deployment—collaborating with product, data science, and engineering teams to prototype, validate, and launch ML-driven experiences while upholding high standards for code quality, security, and reliability.