Machine Learning Engineer, Transaction Risk

Summary by AIEngineer.careers

Machine Learning Engineer, Transaction Risk is a Machine Learning Engineer role (full-time). with Stripe. in SEATTLE, US. Imported listing (source: jobs.a16z.com). Apply on the employer's site (jobs.a16z.com).

Imported listing (source: jobs.a16z.com) · Apply on jobs.a16z.com

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SEATTLE · US

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Full-time

SENIOR

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Imported job description

Sourced from jobs.a16z.com

Stripe is hiring a Machine Learning Engineer for its Transaction Risk team to build the ML systems behind Stripe Radar, preventing fraud and abuse. The role owns major ML systems end to end, from problem definition through production, spanning transformer models, graph intelligence, and LLMs.

Responsibilities

Build and own ML systems that power Stripe Radar fraud and abuse prevention
Take ML systems from problem definition through to production deployment
Apply transformer models, graph intelligence, and LLMs to transaction risk problems

Requirements

5+ years of relevant machine learning engineering experience
Experience building and shipping ML systems in production
Familiarity with transformer models, graph-based methods, or LLMs

Tech Stack

Graph Neural NetworksLLMsMachine LearningTransformers

Stripe

San Francisco · US · 17145+ employees

Stripe is a technology company that builds economic infrastructure for the internet, founded in 2010. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Stripe has dual headquarters in San Francisco, California and Dublin, Ireland, with offices around the world.