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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.

Auto-generated from active job postings · last refreshed 2026-05-24

Currently tracking 11 active AI roles, with 56 new openings in the last 4 weeks. Primary focus: Ship · Engineering. Salary range $147k–$259k (avg $200k).

Hiring
11 / 16
Momentum (4w)
↑+4 +8%
56 opens last 4w · 52 prior 4w
Salary range · avg $200k
$147k–$259k
USD · disclosed roles only
Tracked since
Jan 8
last role today
Hiring velocityscroll left for older weeks
1 new role
Nov 10
2 new roles
Dec 1
1 new role
8
3 new roles
Jan 5
1 new role
12
2 new roles
19
4 new roles
26
2 new roles
Feb 2
2 new roles
9
4 new roles
16
3 new roles
Mar 2
2 new roles
9
2 new roles
16
4 new roles
23
8 new roles
30
8 new roles
Apr 6
7 new roles
13
8 new roles
20
2 new roles
27
6 new roles
May 4
12 new roles
11
20 new roles
18
14 new roles
25
14 new roles
Jun 1
15 new roles
8
7 new roles
15
20 new roles
22
Snap

Snap

Consumer · Social

Frequently asked questions

  • What AI roles is Snap hiring for?

    Snap currently has 16 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.

  • What stage of AI development does Snap focus on?

    Snap's active AI hiring is concentrated in: application (38%), agents (25%), serving infrastructure (25%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.

  • Where is Snap hiring AI talent?

    Snap is hiring AI talent in: United States (12 roles), United Kingdom (1 role), Australia (1 role).

  • What skills does Snap look for in AI roles?

    Job postings at Snap most frequently mention: Machine Learning, Ranking & Relevance, Computer Architecture, TensorFlow, PyTorch.

  • How many AI roles has Snap posted recently?

    In the past 30 days, Snap has posted 7 new AI-related roles.

Jobs (5)

11 AI · 112 total active
FilteredStageShip×FunctionEngineering×Clear all
Show
Active onlyAI only (≥ 7)
Stage
AllData · 1Post-train · 1Serve · 4Agent · 4Ship · 6
Function
AllEngineering · 83Product · 24Research · 1
Country
AllUnited States · 71Taiwan · 5United Kingdom · 5Austria · 3France · 3Australia · 2Israel · 2United Arab Emirates · 2Canada · 1China · 1Saudi Arabia · 1
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Principal Machine Learning Engineer, Content ML, Level 7
Principal Machine Learning Engineer for Content ML team at Snap, focusing on building and scaling large-scale recommender systems for video content products across Spotlight, Discover, and Friend Stories. The role involves leading the vision and roadmap, technically leading engineers, collaborating with ML, Infra, and Research partners on next-gen systems, and advancing the ML tech stack for recommendations.
ShipEngineeringLos Angeles, CA +65d ago8
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.
Ship
Serve
Engineering
Los Angeles, CA +1
3w ago
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.
ShipAgentEngineeringPalo Alto, CA +45w ago8
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.
ShipServeEngineeringPalo Alto, CA +55w ago7
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.
ShipEngineeringPalo Alto, CA6w ago7