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Currently tracking 194 active AI roles, up 94% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $120k–$487k (avg $234k).

Hiring
194 / 194
Momentum (4w)
↑+148 +94%
306 opens last 4w · 158 prior 4w
Salary range · avg $234k
$120k–$487k
USD · disclosed roles only
Tracked since
Jul '25
last role today
Hiring velocityscroll left for older weeks
1 new role
Jun 30
1 new role
Aug 25
1 new role
Sep 1
3 new roles
22
1 new role
29
5 new roles
Oct 13
3 new roles
20
5 new roles
Nov 3
2 new roles
17
1 new role
Dec 1
7 new roles
8
1 new role
15
6 new roles
Jan 5
2 new roles
12
2 new roles
19
4 new roles
26
6 new roles
Feb 2
7 new roles
9
9 new roles
16
6 new roles
23
7 new roles
Mar 2
17 new roles
9
7 new roles
16
25 new roles
23
35 new roles
30
45 new roles
Apr 6
53 new roles
13
80 new roles
20
65 new roles
27
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May 4
84 new roles
11

Jobs (3)

194 AI · 568 total active
FilteredStageServe×CountryChina×Clear all
Show
Active onlyAI only (≥ 7)
Stage
AllData · 13Pretrain · 7Post-train · 28Serve · 37Agent · 49Eval Gate · 17Ship · 43
Function
AllEngineering · 167Research · 20Product · 7
Country
AllUnited States · 156China · 14India · 5United Kingdom · 5Germany · 2Spain · 2France · 1Singapore · 1Switzerland · 1
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Software Engineer AIML
Software Engineer to lead the software development of test systems for Apple products, and integrate AI/ML into daily workflows. This role involves designing and developing AI/ML solutions to improve workflows, team efficiency, and product quality, alongside developing and maintaining test libraries and integrating test systems.
ServeEngineeringShanghai, China6d ago7
AIML - ML Platform Engineer (Apple Ecosystem), Data Intelligence Platform
This role focuses on building and shipping the ML platform and tools that enable product teams across Apple to develop and deploy machine learning solutions. The engineer will be responsible for the infrastructure, tools, and developing ML solutions, with a strong emphasis on scalability, reliability, and ease of use.
ServeEngineeringBeijing, China5w ago7
Manager, Machine Learning Engineering
Manager for a Machine Learning Engineering team focused on manufacturing applications at Apple. The role involves leading a team of ML and MLOps engineers to build, deploy, and scale AI-driven systems for the product lifecycle, from prototype to announcement. Requires technical expertise in AI, leadership skills, and experience with MLOps, Computer Vision, and scaling ML systems.
ServeEngineeringShanghai, ChinaFeb 137