Machine Learning Engineer, Level 4

Actively hiring Posted today Verified listing

Santa Monica, CA · Bellevue, WA · Los Angeles, CA · New York, NY · Palo Alto, CA · Seattle, WA Posted today $173,000–$259,000 / year

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $213k

This role $216k

$150k most similar roles pay here $273k

This role pays more than 53% of similar roles. Most pay $175,500–$249,756 — the shaded band above. At the midpoint, this role pays about $216k versus about $213k 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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View all roles at Snap Inc.

At a glance

TL;DR

As a Machine Learning Engineer at Snap Inc., you will join the core engineering team as a Level 4 professional, responsible for building and deploying machine learning models that enhance key products used by millions of users. Your daily tasks include applying advanced ML techniques to solve large-scale problems, owning the entire lifecycle of ML projects from data analysis to deployment, and collaborating with cross-functional teams to develop and launch new features. You will leverage AI tools to design scalable services while maintaining high standards for code quality, security, and production readiness. Ideal candidates possess a strong background in machine learning algorithms, experience with frameworks like TensorFlow or PyTorch, and the ability to work independently on complex projects. This role involves tackling real-world challenges at scale within Snap’s innovative ecosystem.

Skills

TensorFlow PyTorch scikit-learn Spark ML Python Kubernetes Docker CI/CD AWS PostgreSQL MongoDB Redis Git Jupyter Notebook S3 GCP Azure MLOps

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 problems efficiently.
Own the full lifecycle of ML projects from data analysis to production deployment.
Design scalable AI services while maintaining high standards for code correctness.
Collaborate with cross-functional teams to prototype and launch new ML features.

What we're looking for

3+ years of post-Bachelor’s machine learning experience or equivalent advanced degree and ML experience
Strong understanding of machine learning approaches and algorithms for ranking, recommendations, search, etc.
Experience developing and deploying scalable machine learning models in production environments
Ability to work independently and collaborate effectively with cross-functional teams
Proficiency in modern AI tools and frameworks like TensorFlow, PyTorch, or related technologies
Skilled at solving complex, ambiguous problems while maintaining rigorous standards for code correctness and security

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