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Currently tracking 11 active AI roles, up 109% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $124k–$310k (avg $233k).

Hiring
11 / 11
Momentum (4w)
↑+38 +109%
73 opens last 4w · 35 prior 4w
Salary range · avg $233k
$124k–$310k
USD · disclosed roles only
Tracked since
Nov '25
last role yesterday
Hiring velocityscroll left for older weeks
2 new roles
Jul 28
4 new roles
Sep 1
2 new roles
8
4 new roles
29
2 new roles
Oct 6
2 new roles
27
4 new roles
Nov 10
2 new roles
24
6 new roles
Dec 8
2 new roles
15
6 new roles
Jan 12
4 new roles
19
8 new roles
26
12 new roles
Feb 2
2 new roles
9
4 new roles
16
3 new roles
23
3 new roles
Mar 2
5 new roles
9
7 new roles
16
7 new roles
23
10 new roles
30
15 new roles
Apr 6
3 new roles
13
18 new roles
20
27 new roles
27
20 new roles
May 4
8 new roles
11
Affirm

Affirm

Fintech · BNPL

HQ
San Francisco, US
Founded
2012
Website
affirm.com

Jobs (2)

11 AI · 178 total active
FilteredFunctionEngineering×CountryCanada×Clear all
Show
Active onlyAI only (≥ 7)
Stage
AllData · 1Serve · 6Ship · 4
Function
AllEngineering · 11
Country
AllUnited States · 9Canada · 2
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AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Senior Machine Learning Engineer (Fraud)
Senior Machine Learning Engineer focused on building and improving real-time fraud prediction models for a fintech company. Responsibilities include developing new models, scaling feature pipelines, prototyping, productionizing models, and monitoring their health. Requires experience in ML model development, production deployment, and handling tabular/graph/behavioral data.
ServeDataEngineeringCanada · Remote3w ago7
Machine Learning Engineer II (Fraud)
Machine Learning Engineer II focused on fraud detection at Affirm. This role involves developing and iterating on fraud prediction models, building and scaling feature pipelines, prototyping new modeling ideas, productionizing models into real-time decision systems, and monitoring model health. Requires experience with tabular data, gradient-boosted trees, deep learning frameworks, distributed data processing, and ML lifecycle tooling.
ServeDataEngineeringCanada · Remote4w ago7