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Currently tracking 23 active AI roles, up 58% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $151k–$220k (avg $185k).

Hiring
23 / 24
Momentum (4w)
↑+54 +58%
147 opens last 4w · 93 prior 4w
Salary range · avg $185k
$151k–$220k
USD · disclosed roles only
Tracked since
Apr '25
last role 4d ago
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May 4
Stripe

Stripe

Fintech · Payments

HQ
San Francisco, US
Founded
2010
Size
8,000+
Website
stripe.com
Blog
stripe.com
Products
  • Stripe Payments

Jobs (7)

23 AI · 494 total active
FilteredStageShip×
Show
Active onlyAI only (≥ 7)
Stage
AllData · 3Serve · 2Agent · 24Ship · 7
Function
AllProduct · 324Engineering · 169Research · 1
Country
AllUnited States · 237India · 59Ireland · 44Canada · 37Mexico · 26Singapore · 25United Kingdom · 25Australia · 9Germany · 6Luxembourg · 6Japan · 5France · 3Netherlands · 3Italy · 2Belgium · 1Brazil · 1Poland · 1Romania · 1Spain · 1Sweden · 1United Arab Emirates · 1
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AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
PhD Machine Learning Engineer, Intern
Stripe is seeking PhD Machine Learning Engineering Interns to develop and deploy large-scale ML systems for financial infrastructure. Interns will work on end-to-end ML model development, including training and production deployment, focusing on areas like foundation models for fraud detection and user behavior prediction, and projects like the Stripe Assistant and Stripe Foundation Model.
ShipEngineeringNYC, US-Seattle, US-SF, United StatesSep '258
Machine Learning Engineer, Payments ML Accelerator
Machine Learning Engineer focused on developing and deploying deep learning models and foundation models for Stripe's payment products, impacting core business metrics. The role involves the entire ML lifecycle, from research to production, with an emphasis on reusable architectures and scalable workflows. Requires significant industry experience in end-to-end ML development and production deployment.
Ship
Serve
Engineering
United States
Jul '25
8
Engineering Manager, Payment Intelligence
Stripe is seeking an Engineering Manager for their Payment Intelligence team. This role focuses on leading a team to build ML-driven products that optimize payment conversion rates, minimize costs, and manage fraud for merchants. The manager will be responsible for end-to-end product delivery, technical mentorship, team leadership, recruiting, and contributing to engineering-wide initiatives. The role requires strong technical acumen, cross-functional collaboration, and experience managing teams that have shipped high-quality products.
ShipEngineeringIreland4w ago7
Risk Strategist - Screening (Financial Crimes)
Stripe's Financial Crimes Risk Strategy team is seeking a Risk Strategist to own global screening programs (sanctions, PEP, negative news). This role involves setting standards, designing controls, and driving innovation using AI tools, data analytics, and model governance. The strategist will partner with Product, Engineering, and Data Science to embed screening considerations into product roadmaps and ensure effective risk management in a regulated fintech environment.
ShipProductUnited States1w ago5
Staff Software Engineer, Stripe Dashboard
Staff Software Engineer role focused on shaping the future of Stripe's merchant-facing experiences, with a significant emphasis on integrating AI into core user workflows and defining AI-powered merchant experiences. The role involves technical strategy, leading complex projects, championing quality and performance, and innovating on UX through AI.
ShipEngineeringCanada7w ago5
Staff Engineer , Data & AI
Staff Engineer role at Stripe focused on leading and architecting data and AI products for the Revenue and Finance Automation suite. The role involves driving technical decisions for scalability, reliability, and performance, mentoring engineers, and innovating with ML/LLMs to provide predictive insights and advanced analytics for businesses. The primary focus is on shipping AI-enhanced financial products.
ShipEngineeringIndiaDec '255
Data Scientist
Data Scientist at Stripe to partner with Product, Finance, Payments, Security, Risk, Growth and Go-to-Market teams. Will optimize systems and leverage data using machine learning, statistical modeling, causal inference, optimization, and experimentation to make strategic business decisions and drive impact. Focus on building models and running experiments.
ShipEngineeringCanadaApr '245