ML Engineer — Fraud

Job description

Stripe is hiring a ML Engineer — Fraud (Full-time) hybrid. This machine learning engineer role is part of the AI hiring market in San Francisco (California). Train and deploy models that block fraud at payment scale with low false positives. Listed compensation: $165k – $225k / year. Stack: Python, ML, Real-time, Feature stores.

Machine Learning Engineer profiles are in high demand in San Francisco: San Francisco and the Bay Area host the largest share of US AI hiring: LLM, MLOps, foundational research, and GenAI products. OpenAI partners, Databricks, Scale AI, and hundreds of…

The team

Stripe — AI team

Responsibilities

• Ship production AI features with measurable quality and latency targets
• Partner with product and design on roadmap and customer feedback
• Improve observability, evals, and safe rollout practices

Requirements

• Strong Python or TypeScript fundamentals and 3+ years relevant experience
• Hands-on LLM, ML, or data platform work in production
• Clear written communication and async collaboration

Tech stack

Benefits

Hiring process

1. 1Recruiter screen (30 min)
2. 2Technical interview (60 min)
3. 3Team fit
4. 4Offer

Experience: Mid · 3+ years · Education: BS/MS CS, ML, or equivalent experience

Salary guide — Machine Learning Engineer in San Francisco →

FAQ — ML Engineer — Fraud

What is the salary for ML Engineer — Fraud at Stripe?

Listed range: $165k – $225k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.

Where is the ML Engineer — Fraud role based?

San Francisco, CA, San Francisco (California). Work mode: Hybrid.

How do I apply to Stripe?

Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0015. Process: Recruiter screen (30 min) → Technical interview (60 min) → Team fit → Offer.

Is Stripe hiring other AI roles?

Stripe (Fintech & AI) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

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