Staff 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

• You have 8+ years of experience as an engineer working in the machine learning domain;
• You are a strong Python programmer and you have experience in Java.
• You have experience with the full machine learning model lifecycle in production flows;
• You have experience leveraging big data to create the pipelines needed to feed the models with
• You have a strong understanding of good software engineering practices as well as data engineering
• You have knowledge of data science, statistics and machine learning techniques;

🎁 Benefits

• exceptional opportunity to join a solid, established company with a startup mindset, characterized
• direct access to massive global datasets (e.g., payments, identity data) and the ability to see
• environment of ownership and speed, where a focused research team can make a significant difference.
• be at the forefront of bridging ML and fintech, shaping how these two critical areas intersect.
• open to future relocation conversations to our offices in Amsterdam or Madrid if that better
• annual base salary range for this role is $297,000 - $401,000, plus RSUs