3 months ago
Toronto, CanadaMid Level
Responsibilities
- Analyze opportunities, propose ideas, train and evaluate machine learning models, run experiments, and deploy solutions to production.
- Develop pipelines and automated processes for training and evaluating models in offline and online environments.
- Integrate ML models into production systems and ensure their scalability and reliability.
- Collaborate with product and strategy partners to propose, prioritize, and implement product features.
- Contribute to and influence ML architecture at Stripe.
- Evaluate model performance, improve systems to meet or exceed human performance, and ensure model quality does not degrade online.
- Explore LLM fine-tuning, open-source and in-house platforms, and emerging ML/AI developments.
Requirements
- At least 3 years of experience shipping machine learning systems in production.
- Experience developing streaming feature pipelines, building ML models, and deploying them to production.
- Preferred: 5+ years of experience in full-time software development roles.
- Preferred: experience shipping high-quality LLM integrations to user products.
- Preferred: experience operating in highly ambiguous environments.
- Preferred: knowledge of driving a hypothesis from data.
- Strong ownership, initiative, collaboration, and focus on production quality are expected.
Categories
About Stripe
Stripe builds financial infrastructure for internet businesses, offering APIs and tools for online and in‑person payments, subscriptions, marketplaces/payouts, fraud prevention, identity, tax, issuing, and treasury. It monetizes through per‑transaction fees and SaaS pricing for advanced products. Founded in 2010 and headquartered in South San Francisco, Stripe is privately held and serves companies from startups to large enterprises worldwide.