Snap
Consumer · Social
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.
Consumer · Social
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.
| Title | Stage | AI score |
|---|---|---|
| Machine Learning Engineer, CV Machine Learning Engineer focused on Computer Vision for next-generation Spectacles, developing and deploying ML models for real-world AR applications. | Serve | 8 |
| Spectacles Student Worker- Computer Vision Engineering Computer Vision Engineering student worker role focused on researching and developing advanced computer vision algorithms and implementing them onto Spectacles. The role involves optimizing performance, writing clean code, and potentially publishing research or contributing to patents. | Post-train | 7 |
| Software Engineer, C++ (Computer Vision) Software Engineer, C++ (Computer Vision) role at Snap, focusing on integrating cutting-edge Computer Vision systems with real-time performance for wearable hardware. Responsibilities include working with embedded systems, optimizing software, and designing analysis tools. Requires strong C++ skills, computer system architecture understanding, and experience with resource-constrained systems. Preferred qualifications include performance profiling, agentic coding, and specific CV areas like SLAM or depth estimation. |
| Ship |
| 5 |
| Embedded Engineer, Operating System Embedded Engineer for Snap's Spectacles team, focusing on designing and implementing embedded software for consumer products, including kernel, synchronization primitives, resource allocators, and I/O systems. Requires experience with ARM architecture, C/C++, BSP, and Operating Systems. | — | 0 |
| Spectacles Student Worker - Software Engineering - Graphics Software Engineering student worker for Spectacles team, focusing on developing AR experiences by working on the graphics and display stack of Spectacles, producing high-performance code, and collaborating with mentors and team members. Requires strong CS fundamentals, C/C++ proficiency, and knowledge of graphics APIs (Vulkan/OpenGL) and shader programming. | — | 0 |