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Currently tracking 5 active AI roles, with 71 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $108k–$343k (avg $239k).

Hiring
5 / 6
Momentum (4w)
↓-3 -4%
71 opens last 4w · 74 prior 4w
Salary range · avg $239k
$108k–$343k
USD · disclosed roles only
Tracked since
Jul '25
last role yesterday
Hiring velocityscroll left for older weeks
1 new role
Jun 2
1 new role
9
1 new role
Jul 21
1 new role
Sep 8
1 new role
Oct 13
1 new role
20
1 new role
27
1 new role
Nov 17
1 new role
24
2 new roles
Dec 1
1 new role
8
3 new roles
15
1 new role
Jan 5
3 new roles
12
3 new roles
19
4 new roles
26
4 new roles
Feb 2
5 new roles
9
4 new roles
16
2 new roles
23
7 new roles
Mar 16
2 new roles
23
8 new roles
30
24 new roles
Apr 6
40 new roles
13
20 new roles
20
31 new roles
27
17 new roles
May 4
3 new roles
11

Jobs (2)

5 AI · 168 total active
FilteredStageShip×FunctionEngineering×Clear all
Show
Active onlyAI only (≥ 7)
Stage
AllAgent · 3Ship · 2
Function
AllEngineering · 5
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AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Staff Machine Learning Engineer, Credit Products (Square Financial Services)
Staff Machine Learning Engineer for Square Financial Services' Credit and Lending team. This role focuses on building and deploying ML models for credit underwriting, involving full-stack ownership from data curation to decisioning logic integration. The position operates at the intersection of regulated banking and autonomous systems, aiming to expand underwriting capabilities into new customer segments through advanced modeling and policy evolution. Responsibilities include applying scientific methods to new data sources, leading ML Ops initiatives, designing the full credit modeling stack, leveraging data science for new data, improving credit policy, supporting existing models, and operating within a regulated banking framework.
ShipDataEngineeringCA · Remote2d ago7
Staff Machine Learning Engineer, Credit Products (Square Financial Services)
Staff Machine Learning Engineer for Square Financial Services' Credit and Lending team. This role focuses on building and deploying ML models for credit underwriting, involving full-stack ownership from data curation to decisioning logic integration. The position operates at the intersection of regulated banking and autonomous systems, aiming to expand underwriting capabilities into new customer segments through advanced modeling and policy evolution. Responsibilities include applying scientific methods to new data sources, leading ML Ops initiatives, designing the full credit modeling stack, leveraging data science for new data, improving credit policy, supporting existing models, and operating within a regulated banking framework.
ShipDataEngineeringCA · Remote2d ago7