Machine Learning Engineer, Payments ML Accelerator
About Stripe Stripe is a financial infrastructure platform for businesses. 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.
What this role actually needs.
Machine Learning Engineer, Payments ML Accelerator at Stripe in Seattle. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. About Stripe Stripe is a financial infrastructure platform for businesses. 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.
Day-to-day expectations
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- Design and deploy deep learning architectures and foundation models to address problems across key payment entities such as merchants, issuers, or customers
- Identify high-impact opportunities, and drive the long-term ML roadmap through well-scoped high-leverage initiatives
- Architect generalizable ML workflows to enable rapid scaling and optimized online performance
- Deploy ML models online and ensure operational stability
- Experiment with advanced ML solutions in the industry and ideate on product applications
- Explore cutting-edge ML techniques and evaluate their potential to solve business problems
What a strong candidate brings
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- Minimum 7 years of industry experience doing end-to-end ML development on a machine learning team and bringing ML models to production
- Proficient in Python, Scala, and Spark
- Proficient in deep learning and LLM/foundation models
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