Snap currently has 8 active AI-related job listings. The majority of these roles are focused on serving infrastructure, accounting for 38% of the openings, followed by application and post-training stages, each representing 25%. Engineering is the most frequent function for these positions. The company is hiring for these roles in the United States and Austria. Frequent technology tags include model_serving, inference_infra, and recommender_systems. Over the last 30 days, Snap posted 1 new AI role, an 83% decrease compared to the previous 30-day period.
Currently tracking 6 active AI roles, with 56 new openings in the last 4 weeks. Primary focus: Serve · Engineering. Salary range $157k–$235k (avg $196k).
Snap currently has 15 active AI-related roles in our index. The most common open titles are: Computer Architecture Intern, Machine Learning Engineer, Generative ML , Level 5, Machine Learning Engineer, Level 4, Machine Learning Engineer, Level 5, Machine Learning Engineering Intern. Most positions are in Engineering and Product.
Snap's active AI hiring is concentrated in: application (40%), agents (27%), serving infrastructure (20%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Snap is hiring AI talent in: United States (11 roles), United Kingdom (1 role), Australia (1 role).
Job postings at Snap most frequently mention: Ranking & Relevance, Machine Learning, Computer Architecture, TensorFlow, System Design.
In the past 30 days, Snap has posted 5 new AI-related roles.