below marketmost similar roles pay hereabove market
This role pays more than
55%
of similar roles. Most pay
$195,112–$254,750
— the blue band above.
At the midpoint, this role pays about
$216k
versus about
$225k
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
103 open roles
on FindRole.
Listed pay typically runs
$209,000–$313,000
across 93 roles with salary data.
The Machine Learning Engineer, Generative ML, Level 4 joins the Generative ML Platform team to build cutting-edge AI technologies for Snapchat. In this role, you will develop innovative machine learning products and state-of-the-art generative pipelines for image, video, language, and audio generation. You will deliver generative machine learning experiences on-device and build augmented reality experiences using diffusion models. Key responsibilities include prototyping new products and collaborating with cross-functional teams to solve ambiguous problems. You should possess strong software development skills in Python or C++, proficiency with PyTorch or TensorFlow, and a deep understanding of mathematics and deep learning foundations. The work focuses on creating multimodal LLMs, efficient infrastructure, and agentic systems to power creative, scalable experiences across mobile, web, and wearable devices.
What does a Machine Learning Engineer earn in California?
Median $235750 from 200 postings across 34 companies.
Develop innovative machine learning technology and products for millions of Snapchat users.
Build state-of-the-art generative pipelines for image, video, language, or audio generation.
Deliver generative machine learning experiences directly on mobile devices.
Create augmented reality experiences using generative and diffusion models.
Prototype new products in partnership with cross-functional teams.
Develop the full stack of generative AI including foundational models and efficient infrastructure.
Build agentic systems and tools for creators, developers, and internal teams.
What we're looking for
Bachelor’s Degree in a technical field such as computer science, mathematics, statistics, or equivalent years of experience.
3+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 2+ years of post-grad machine learning experience; or PhD in a relevant technical field.
Research or engineering experience in generative models, efficient models, diffusion models, language models, or other related applications of machine learning.
Strong software development skills in Python or C++.
Proficiency working with major deep learning frameworks such as PyTorch or TensorFlow.
Knowledge of mathematics and deep learning foundations.
Experience developing real-time software for mobile applications (preferred).
Knowledge of GenAI foundations, efficient model foundations, or a track record of successful projects in the GenAI field (preferred).
Machine Learning
TensorFlow
PyTorch
Spark ML
scikit-learn
Caffe2
System Design
Ranking
Recommendations
Search
Content Understanding
Image Generation
AI Tools
Data Analysis
Production Deployment