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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 6 active AI roles, with 56 new openings in the last 4 weeks. Primary focus: Serve · Engineering. Salary range $157k–$235k (avg $196k).

Hiring
6 / 7
Momentum (4w)
↑+4 +8%
56 opens last 4w · 52 prior 4w
Salary range · avg $196k
$157k–$235k
USD · disclosed roles only
Tracked since
Jan 8
last role 5w ago
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

Frequently asked questions

  • What AI roles is Snap hiring for?

    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.

  • What stage of AI development does Snap focus on?

    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.

  • Where is Snap hiring AI talent?

    Snap is hiring AI talent in: United States (11 roles), United Kingdom (1 role), Australia (1 role).

  • What skills does Snap look for in AI roles?

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

  • How many AI roles has Snap posted recently?

    In the past 30 days, Snap has posted 5 new AI-related roles.

Jobs (103)

10 AI · 103 total active
Show
Active onlyAI only (≥ 7)
Stage
AllData · 1Post-train · 1Serve · 3Agent · 4Ship · 6
Function
AllEngineering · 80Product · 22Research · 1
Country
AllUnited States · 62Taiwan · 5United Kingdom · 4France · 3United Arab Emirates · 3Australia · 2Austria · 2Israel · 2China · 1Saudi Arabia · 1
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Electrical Engineer, Level 4
Electrical Engineer for Snap's Spectacles team, focusing on schematic design, component selection, and board design for AR glasses. Responsibilities include leading technical design reviews, supervising layout, debugging hardware issues, testing and validating designs, and collaborating with cross-functional teams. Requires strong electrical engineering fundamentals and experience in electronic design, battery-operated systems, and communication interfaces.
—EngineeringLos Angeles, CA +1Jan 80
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.
—EngineeringVienna, AustriaJan 80
Optical Quality Engineer
Optical Quality Engineer for Spectacles hardware team at Snap, focusing on supplier collaboration for optical component quality, DFM, FAI, Cpk, MSOP, MSA, reliability testing, and ensuring components meet ok2ship criteria. Responsibilities include developing metrology recipes, aligning inspection criteria, performing component qualifications (PPAP), addressing material issues, driving supplier improvements, and conducting supplier quality assessments.
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Engineering
Taipei City, Taiwan
Dec '25
0