Principal Software Engineer, Machine Learning

Responsibilities

• Build, scale, and operate production-grade machine learning systems for real-time personalization.
• Develop, validate, implement, and maintain scalable ML models and data-driven products.
• Build automated processes for large-scale data analysis and model development.
• Use testing techniques to prevent regressions and improve system quality.
• Lead cross-functional machine learning projects and collaborate with Product and Engineering.
• Provide technical leadership and advocate for larger-scale improvements across ML systems.

Requirements

• 10+ years of professional experience building software systems, ideally with sustained ownership of a single system.
• Experience with TensorFlow or PyTorch, XGBoost, pandas, Matplotlib, SQL, Spark, or similar tools.
• Proficiency or experience with Python.
• Extensive experience applying machine learning and data analysis to scalable systems and data-driven products.
• Track record of building scalable, efficient, automated processes for large-scale data analysis, model development, model validation, and model implementation from modern research.
• Experience leading cross-functional machine learning projects.
• Strong collaboration, communication, technical leadership, and quality-focused skills.

Benefits

• Health and wellness benefits.
• Equity.
• Full-time position with a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney.