Stripe
Machine Learning Engineer
Toronto · Full-time
Sponsorship not specifiedDetected 16 hours ago
Machine LearningLLMsCollaboration
About the role
- 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.
- Some examples include helping our users resolve issues with Stripe faster or making it easier for our users to sign up and navigate Stripe.
Responsibilities
- Develop pipelines and automated processes to train and evaluate models in offline and online environments
- Collaborate with product and strategy partners to propose, prioritize, and implement new product features
Requirements
- You are comfortable with ambiguity, love to take initiative, and have a bias towards action.
- Have at least 3 years of experience shipping ML systems in production
- That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
Nice to have
- 5+ 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
- For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office.
Compensation
- The annual salary range for this role in the primary location is CA$162,300 - CA$243,500.
Benefits
- As a machine learning engineer, you will be responsible for analyzing opportunities, proposing ideas, training & evaluating ML models, running experiments, and deploying everything to production.
- Machine Learning
Company info
- 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 is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
- About the team
- 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. Some examples include helping our users resolve issues with Stripe faster or making it easier for our users to sign up and navigate Stripe. We are using the latest LLMs as well as fine-tuning our own models. We're an end-to-end team going from ideas to models to shipping in production. You can learn more about our team's work from this recent talk.
- 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 is to increase the GDP of the internet, and we have a staggering amount of work ahead.
- We are using the latest LLMs as well as fine-tuning our own models.
- We're an end-to-end team going from ideas to models to shipping in production.
- You can learn more about our team's work from this recent talk.
This listing is sourced directly from Stripe's careers page and normalized into a canonical job model.