The opportunity
Our Applied ML team aims to reform how our users interact with Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks.
What you'll do
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?
Develop pipelines and automated processes to train and evaluate models in offline and online environments
What they're looking for
- Have at least 3 years of experience shipping ML systems in 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
- + years of experience in full time software development roles
- Experience shipping LLM integrations to user products with high quality
- Experience operating in highly ambiguous environments
- Knowledge about driving a hypothesis from data
