Experienced Machine Learning Engineer - Payments
July 23
🔄 Hybrid – San Francisco
Description
• Hands-on develop, productionize, and operate Machine Learning models and pipelines to improve a diverse range of Plaid products. • Continuously proposing and developing new features to improve the AI/ML model performance. • Working with the ML infrastructure team to improve ML infrastructure that powers the end-to-end ML development lifecycle. • Debugging ML production issues and ensuring stable model serving. • Work collaboratively with cross-functional partners to identify opportunities for business impact, understand, refine, and prioritize requirements for AI/ML models, drive engineering decisions, and quantify impact.
Requirements
• 5+ years of engineering experience. • Proficiency in machine learning algorithms and solid understanding of mathematics and statistics. • Experience in developing end to end data systems/products and productionizing AI/ML models. • Experience in well-known big data processing infrastructures, like Spark, Airflow, DBT, Hive, Presto, and etc. • Ability to architect software and ML systems at scale. • Solid software engineer skill in complex and multi-language systems. Code fluency in Python. • Experience in working with product, design, and backend engineering.
Apply Now
