This role pays more than
88%
of similar roles. Most pay
$189,462–$254,750
— the shaded band above.
At the midpoint, this role pays about
$261k
versus about
$222k
for comparable roles.
Based on 240 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
76 open roles
on FindRole.
Listed pay typically runs
$209,000–$313,000
across 58 roles with salary data.
Machine Learning Engineer, Generative ML, Level 5 joins the Generative ML Platform team to build cutting-edge AI technologies including multimodal LLMs, video generation, and real-time augmented reality. The role involves developing innovative machine learning products for millions of users by building state-of-the-art generative pipelines for image, video, language, or audio content. You will deliver generative experiences on-device and collaborate with cross-functional teams to prototype new products using generative and diffusion models. Required technical skills include proficiency in Python or C++, deep learning frameworks like PyTorch or TensorFlow, and a strong foundation in mathematics and deep learning. The work focuses on the full stack of generative AI, including foundational models, efficient infrastructure, and agentic systems designed to power creative tools and personalized experiences across mobile, web, and wearable devices.
What does a Machine Learning Engineer earn in California?
Median $246394 from 172 postings across 28 companies.
Machine Learning
TensorFlow
PyTorch
Caffe2
Spark ML
scikit-learn
System Design
Content Understanding
Image Generation
AI Tools
Data Analysis
Production Deployment
Machine Learning
TensorFlow
PyTorch
Caffe2
Spark ML
scikit-learn
System Design
Search
Content Understanding
Image Generation
AI Tools
Data Analysis
Production Deployment