Staff Software Engineer, Machine Learning Platform
Stripe · 8212 ML Foundations
- Location
- San Francisco, Seattle
- Metro
- San Francisco Bay Area, Seattle
- Workplace
- Unspecified
- Level
- Staff+
- Type
- Unspecified
- Posted
- 5 months ago
- Source
- Greenhouse
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What the posting covers
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. Our mission…
About the team
Stripe processes over $1.9T in payments volume per year, which is roughly 1.6% of the world's GDP, for millions of customers from startups to enterprises. The tremendous amount of data makes Stripe one of the best places to do machine learning. While being an…
What you'll do
You'll serve as a technical lead across the ML Platform space and a key contributor to the evolution of the platforms that power Stripe's ML-driven products. As a Staff Engineer, you'll make decisions with a large impact on Stripe. You'll influence our…
Responsibilities
Take ownership of end-to-end architecture and system design for large, complex projects across ML Platform. Define technical direction for highly ambiguous projects, transforming complex user needs into long-lasting platform strategy. Design system…
Minimum requirements
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements: • 10+ years of…
Preferred qualifications
Experience building large-scale ML training, serving, or data infrastructure for machine learning use cases, such as distributed training, model inference, feature stores, real-time feature computation, and model registries. Experience with distributed ML…
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