Staff Machine Learning Engineer

📋 Description

• Define the multi-quarter vision for ML at Kikoff, spanning underwriting, fraud and risk, and
• Architect and evolve the ML platform: feature stores, training and evaluation pipelines, model
• Personally lead the most consequential modeling work, including cash advance and credit
• Partner with Risk, Compliance, and Legal to establish model governance fit for a lender at scale.
• Set the standards for how ML changes are tested and measured, including experiment design
• Act as the technical counterpart to product and business leaders on ML initiatives.

🎯 Requirements

• 8+ years of software or machine learning engineering experience, including 5+ years building
• Prior experience as a technical lead or the most senior ML engineer on a team.
• Expert-level Python; strong general software engineering fundamentals and system design skills.
• Deep experience with the full ML lifecycle in production: feature engineering, training
• Hands-on experience designing ML platform components such as feature stores, model registries, and
• Strong command of gradient-boosted trees and classical ML for tabular data.