This role pays more than
98%
of similar roles. Most pay
$197,925–$249,750
— the shaded band above.
At the midpoint, this role pays about
$345k
versus about
$224k
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
61 open roles
on FindRole.
Listed pay typically runs
$209,000–$313,000
across 43 roles with salary data.
As a Principal Machine Learning Engineer at Snap, you will join the Content ML team as a Level 7 senior engineer to lead the development and scaling of large-scale recommendation systems for video content products like Spotlight, Discover, and Friend Stories. You’ll guide a talented engineering group in enhancing existing recommender systems while collaborating with cross-functional teams to design next-generation solutions that incorporate state-of-the-art research in recommendation systems, foundation models, and multimodal signal understanding. Your role involves advancing the ML tech stack for recommendations, ensuring scalability, efficiency, reliability, and performance, as well as staying abreast of emerging trends to enhance Snap’s content capabilities. The ideal candidate has extensive experience with machine learning frameworks like TensorFlow or PyTorch, a strong background in recommendation systems, and expertise in designing, training, deploying, and optimizing large-scale models for production environments.