Machine Learning Engineer, Level 5

Snap Inc.

Actively hiring Posted today Verified listing

Santa Monica, CA Posted today $209,000–$313,000 / year

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99+ other roles within 25 mi Near Santa Monica, CA

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $212k

This role $261k

$144k most similar roles pay here $331k

This role pays more than 82% of similar roles. Most pay $174,780–$249,750 — the shaded band above. At the midpoint, this role pays about $261k versus about $212k for comparable roles.

Based on 239 similar postings.

Employer

About Snap Inc.

Snap Inc. is a technology and camera company, best known for Snapchat, offering visual communication, augmented reality, and advertising products.

Snap Inc. currently has 55 open roles on FindRole.

Listed pay typically runs $209,000–$313,000 across 39 roles with salary data.

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At a glance

TL;DR

As a Level 5 Machine Learning Engineer at Snap Inc., you will join the core engineering team responsible for developing and deploying machine learning models that enhance Snapchat, Lens Studio, and Spectacles. Your day-to-day responsibilities include applying advanced ML techniques to solve large-scale problems, owning the entire lifecycle of ML projects from data analysis to production deployment, and collaborating with cross-functional teams to launch new features. You will work with cutting-edge AI tools and frameworks like TensorFlow, PyTorch, and Spark ML to design scalable services while maintaining high standards for code quality, security, and reliability. This role requires a strong background in machine learning algorithms, experience with ranking and recommendation systems, and the ability to handle complex, ambiguous problems independently.

Skills

Python TensorFlow PyTorch scikit-learn Spark ML Kubernetes Docker CI/CD PostgreSQL AWS Google Cloud Azure MLOps Prometheus Grafana

What you'll do

Build and deploy machine learning models for core products used by millions.
Apply modern ML techniques to solve large-scale, real-world challenges.
Own the full lifecycle of ML projects from data analysis to production.
Prototype and launch new ML-driven features in collaboration with teams.
Design scalable AI services while maintaining high standards for security.

What we're looking for

At least 5 years of post-Bachelor’s machine learning experience or equivalent advanced degree.
Proficient in developing ML models for ranking, recommendations, search, content understanding, and image generation.
Skilled in the full lifecycle of ML projects from data analysis to production deployment.
Strong ability to work independently and prioritize tasks effectively.
Experience collaborating with cross-functional teams on ML-driven feature development.
Familiarity with modern machine learning frameworks like TensorFlow, PyTorch, or similar tools.

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