This role pays more than
97%
of similar roles. Most pay
$202,800–$254,750
— the shaded band above.
At the midpoint, this role pays about
$345k
versus about
$229k
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
66 open roles
on FindRole.
Listed pay typically runs
$209,000–$313,000
across 57 roles with salary data.
Principal Machine Learning Engineer, Signals and Measurement will join the Signals & Measurement team to design and develop machine learning systems across the third-party signal lifecycle, including acquisition, curation, matching, attribution, and causal measurement. The role involves building and scaling critical models to support monetization strategies while providing technical direction for the broader machine learning community. You will collaborate with cross-functional teams to align on strategies, manage trade-offs, and improve the organization's technology stack. Key requirements include expertise in deep learning algorithms applied to advertising measurement, recommendation, or search domains. The ideal candidate possesses strong programming skills and experience with TensorFlow or PyTorch. This role addresses complex problems within the online advertising domain, specifically focusing on ad targeting, ranking, auction, and marketplace optimization while solving challenges related to identity resolution and anomaly detection.
What does a Machine Learning Engineer earn in Washington?
Median $241750 from 65 postings across 11 companies.
Computer Vision
Machine Learning
Python
PyTorch
Foundation Models
Vision-Language Models (VLMs)
Large Language Models (LLMs)
Core ML
Quantization
Knowledge Distillation
Model Optimization
Active Learning
Natural Language Understanding