Senior Machine Learning Engineer, Financial Products

📋 Description

• Develop and maintain scalable production ML pipelines for feature engineering, model training
• Identify and fix performance bottlenecks in ML training and inference (memory consumption, online
• Collaborate with software engineers to integrate ML solutions into products and services.
• Collaborate with CreditOps and data teams to integrate effectively with current tools, and shape
• Support and encourage good engineering practices on product ML teams.

🎯 Requirements

• 5-7+ years of experience as an engineer working in the machine learning domain.
• Strong Python programmer with experience in Java.
• Experience with the full machine learning model lifecycle in production flows.
• Experience leveraging big data to create pipelines to feed models with appropriate data.
• Strong understanding of software engineering practices, data engineering, and MLOps principles.
• Knowledge of data science, statistics, and machine learning techniques.

🎁 Benefits

• Annual base salary range: $227,500 - $317,000 plus RSUs.
• Opportunity to work with massive global datasets (e.g., payments, identity data).
• Environment of ownership and speed with a startup mindset.
• Access to a focused research team with immediate impact at scale.
• Potential future relocation to offices in Amsterdam or Madrid.
• Comprehensive compensation philosophy (link provided in job description).