Staff Machine Learning Engineer, Stripe

• You have experience developing streaming feature pipelines, building ML models, and deploying them to production, even if it involves making substantial changes to backend code
• You are comfortable with ambiguity, love to take initiative, and have a bias towards action
• 6 years of industry experience shipping ML models to production
• Hold yourself and others to a high bar when working with production systems
• Take pride in taking ownership and driving projects to business impact
• Thrive in a collaborative environment

Desirable

• We are looking for experienced Machine Learning Engineers who will be responsible for analyzing opportunities, proposing ideas, training & evaluating ML models, running experiments, and deploying everything to production
• You will also have the opportunity to contribute to and influence ML architecture at Stripe as well as be a part of a larger ML community
• Our team operates fluidly and here are some problems you may tackle:
• Which Text2SQL algorithm should we implement? What are the tradeoffs?
• How do we evaluate a system offline & online?
• How do we improve performance to match (and beat) humans?
• How do we ensure model quality doesn’t degrade online?
• Does fine-tuning an LLM give us better performance?
• What are the right OSS and in-house platforms we should invest in?