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 Engineer, Generative ML , Level 5 Machine Learning Engineer focused on building generative AI technologies for consumer-facing experiences on mobile, web, and wearables. The role involves developing full-stack generative AI, from foundational models to inference, and creating tools and agentic systems for creative applications, with a focus on image, video, and audio generation, as well as augmented reality. | ShipServe | 8 |
| Principal Machine Learning Engineer, Content ML, Level 7 Principal Machine Learning Engineer to lead the vision and roadmap for Snap’s large-scale recommendation systems, focusing on content discovery and personalization across various Snap products. The role involves technically leading engineers, collaborating with cross-functional teams on next-gen systems, and advancing the ML tech stack for recommendations. Requires deep understanding of RecSys architectures, ML/deep learning, and experience leading recommendation/personalization roadmaps, with a focus on shipping performant and scalable models. |
| Ship |
| 8 |
| Staff Machine Learning Engineer, Search Ranking Staff Machine Learning Engineer to lead the development of next-generation Search ranking systems. This role involves designing, building, and improving ML models for relevance, quality, personalization, and utility of search results at scale. Responsibilities include developing ranking models using various techniques, balancing multiple objectives, partnering with cross-functional teams, analyzing user behavior, designing evaluation frameworks, and improving ML infrastructure. The role also requires technical leadership and staying current with AI advancements in search and related fields. | ShipAgent | 8 |
| Machine Learning Engineer, Level 4 Machine Learning Engineer at Snap focused on building and deploying ML models for core consumer products, owning the full ML lifecycle, and applying modern ML techniques to large-scale problems. The role involves partnering with cross-functional teams and utilizing AI tools responsibly. | ShipServe | 7 |
| Machine Learning Engineer, Level 5 Machine Learning Engineer at Snap Inc. responsible for building and deploying ML models for core products, owning the full ML lifecycle, and applying modern ML techniques to solve large-scale problems. The role involves partnering with cross-functional teams and utilizing AI tools for scalable service design and deployment, with a focus on code correctness, security, and production standards. Experience in ranking, recommendations, search, content understanding, or image generation is required. | Ship | 7 |