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Currently tracking 9 active AI roles, up 216% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $75k–$291k (avg $151k).

Hiring
9 / 11
Momentum (4w)
↑+201 +216%
294 opens last 4w · 93 prior 4w
Salary range · avg $151k
$75k–$291k
USD · disclosed roles only
Tracked since
Mar 9
last role today
Hiring velocityscroll left for older weeks
32 new roles
Dec 1
2 new roles
8
1 new role
29
1 new role
Jan 5
6 new roles
12
1 new role
Feb 2
1 new role
9
2 new roles
16
3 new roles
23
8 new roles
Mar 2
13 new roles
9
12 new roles
16
16 new roles
23
18 new roles
30
29 new roles
Apr 6
30 new roles
13
52 new roles
20
78 new roles
27
163 new roles
May 4
1 new role
11

Jobs (3)

9 AI · 199 total active
FilteredStageServe×
Show
Active onlyAI only (≥ 7)
Stage
AllServe · 3Agent · 6
Function
AllEngineering · 9
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Applied Machine Learning Engineer (All Levels)
Allstate is seeking Machine Learning Engineers to design, build, and operate ML models across the full ML lifecycle, from data exploration to deployment and monitoring. The role involves working with Python, ML libraries like scikit-learn and XGBoost, and SQL, with opportunities to learn cloud platforms and deep learning techniques. The position emphasizes pair programming and test-driven development, with varying responsibilities based on experience level.
ServeEngineeringIL · Remote2d ago7
Machine Learning Platform - Lead Engineer
Lead Engineer for an enterprise ML platform, focusing on architecting, building, and scaling core services like training infrastructure, feature stores, model registries, and inference runtimes. The role involves driving MLOps automation, cloud-native engineering on Azure, AWS, or GCP, and enabling reliable, scalable, and responsible ML adoption across the company.
ServeEngineeringIL, USA, United States · Remote8w ago7
Senior AI Cloud Platform Engineer
This role focuses on building and operating cloud application development and hosting platforms for GenAI, enabling developers to build, deploy, and operate AI applications. It involves developing self-service tools, managing infrastructure as a service, and integrating various AI components and APIs.
ServeEngineeringIL · RemoteMar 127