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 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.
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.
| Title | Stage | AI score |
|---|---|---|
| Machine Learning Engineering Intern Machine Learning Engineering Intern to join the Spectacles AR engineering team, focusing on scene understanding for AR experiences. The role involves prototyping, training, and evaluating ML models for computer vision and multimodal understanding, contributing to geometric scene understanding, 3D reconstruction, semantic scene understanding, visual localisation, and connecting scene understanding to language for AR interactions. The intern will partner with mentors and cross-functional teams to integrate work into production-facing systems. | Post-trainAgent | 8 |
| Senior Software Engineer, Spectacles Senior Software Engineer role focused on building software systems, tools, and infrastructure for computer vision development, specifically for eye-tracking calibration on Spectacles AR glasses. Requires strong C++ skills and experience with calibration, validation, and performance analysis workflows. |
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| Senior Marketing Scientist This role focuses on driving marketing effectiveness for small and medium customers by leveraging learning-agenda strategies, experimental design, causal analytics, and ads efficacy solutions. It involves leading measurement, research, and learning plans, collaborating with product and R&D teams to scale new solutions, and building measurement capability across verticals. The role requires strong analytical skills, proficiency in SQL/R/SAS, and understanding of the digital advertising and measurement ecosystem. | — | 0 |
| Director, Global Brand Experience This role is for a Director of Global Brand Experience at Snap, focusing on leading the strategy, development, and execution of global brand experiences across EMEA and APAC. The role involves managing teams, partnering with cross-functional stakeholders, translating product narratives into experiential stories, managing budgets, and championing the use of creative technology like AR and Spectacles. The primary focus is on delivering impactful brand experiences for consumers, partners, and internal stakeholders, rather than direct AI/ML development. | — | 0 |