Machine Learning Engineer, Supportability
Job in
Toronto, Ontario, M5A, Canada
Listing for:
Stripe
Full Time
position
Listed on 2026-06-04
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
Who we are
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
The Supportability Evaluation team acts as stewards of the financial ecosystem. Our mission is to protect Stripe’s reputation with our global financial partners by architecting highly precise, automated supportability controls. We develop the AI/ML models and systems that detect and action supportability violations in real-time. We're responsible for building high-fidelity detection engines that ensure our merchants remain compliant across the globe, balancing the scale of millions of users with the surgical precision required by the world’s largest financial institutions.
What you’ll do
As a Machine Learning Engineer in Supportability, you will be responsible for designing, building, training, evaluating, deploying, and owning AI/ML models in production. You will work closely with software engineers, machine learning engineers, product managers, and data scientists to operate Stripe’s ML powered systems, features, and products. You will also have the opportunity to contribute to and influence AI/ML architecture at Stripe and be a part of a larger community.
Responsibilities
Design state-of-the-art AI/ML models and large scale systems for detection and decisioning for Stripe products based onAI/ML principles, domain knowledge, and engineering constraintsDrive the expansion of Stripe's largest LLM-based system, scaling its usage and integrating new capabilities through agentic approaches or supervised learning.Rapidly prototype new AI/ML-based approaches to achieve key business goals.Develop processes to train and evaluate models in offline and online environmentsIntegrate models into production systems and ensure their scalability and reliabilityCollaborate with product and strategy partners to propose, prioritize, and implement new product featuresEngage with the latest developments in AI/ML and take calculated risks in transforming innovative ideas into productionized solutionsExplore cutting-edge AI/ML techniques and evaluate their potential to solve business problemsWho you are
We are looking for ML Engineers who are passionate about building AI/ML and AI systems that touch the lives of millions. You have experience building and evaluating advanced AI/ML models, and deploying them to production. You are comfortable with ambiguity, love to take initiative, have a bias towards action, and thrive in a collaborative environment.
Minimum requirements
2+ years of industry experience building and shipping AI/ML systems in productionProficient with AI/ML libraries and frameworks such as PyTorch, Tensor Flow, XGBoost, as well as SparkKnowledge of various AI/ML algorithms and model architecturesHands-on experience in designing, training, and evaluating machine learning modelsHands-on experience in productionizing and deploying models at scaleExperience rigorously evaluating model performance, including cleaning data, and working with data-generating processes to improve signal and reduce noise in high-noise datasets.Proficiency in creatively applying modern machine learning techniques and Generative AI models to solve complex business problems.Preferred qualifications
MS/PhD degree in AI/ML or related field (e.g. math, physics, statistics)Experience with DNNs including the latest architectures such as transformers and LLMsExperience working in Java or Ruby codebasesProven track record of building and deploying AI/ML systems that have effectively solved ambiguous business problemsExperience with online experimentation such as A/B testing or multi-armed bandits.Experience with model calibrationIn-office expectations
Office-assigned Stripes in most of our locations are currently…
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
Search for further Jobs Here:
