Machine Learning Engineer II (AI)

TL;DR

Machine Learning Engineer II (AI): Building and improving machine learning and AI systems to automate customer operations like disputes and fraud with an accent on evidence extraction and decision automation. Focus on developing LLM-powered workflows for unstructured data and optimizing tabular classification models for production.

Location: Remote Canada

Salary: $123,000 - $183,000 CAD

Company

A fintech company reinventing credit to make it more honest and friendly by providing flexible buy now and pay later options.

What you will do

• Develop AI systems to automate dispute and chargeback handling using structured evidence and business logic.
• Build models to automate refunds to return money to customers faster.
• Build and maintain evidence extraction pipelines processing unstructured data via LLM-powered workflows.
• Prototype new modeling ideas, conduct offline experiments, and drive high-performing approaches into production.
• Collaborate with Engineering, Product, and ML Platform teams to define requirements and evaluate tradeoffs.

Requirements

• 2+ years of experience as a machine learning engineer.
• Strong Python skills and experience writing production-quality code.
• Experience with tabular classification problems using gradient-boosted decision trees (LightGBM, XGBoost, or CatBoost).
• Experience with LLM APIs (OpenAI, Anthropic) and orchestration frameworks like LangChain or LangGraph.
• Familiarity with unstructured data processing such as PDF/image extraction and text parsing.
• Experience with ML lifecycle tooling including Kubeflow, Airflow, or MLflow.
• Must be based in Canada.

Culture & Benefits

• Remote-first company culture allowing work from anywhere within the country of employment.
• 100% subsidized medical, dental, and vision coverage for employees and their dependents.
• Generous stipends for technology, food, lifestyle, and family forming expenses.
• Competitive vacation and holiday schedules.
• Employee Stock Purchase Plan (ESPP) to buy company shares at a discount.