Staff Software Engineer - Applied ML

Job Description

• Design, implement, and iterate on Applied ML systems like search, recommendations, and RAG in collaboration with our Research and Backend teams. • Own family of classifiers for async user-understanding • Interface with our Growth and Data Science teams to understand what levers we have to improve engagement and user experience.

Qualifications

• Expertise building ML systems from scratch. • Experience leading teams of MLEs and Backend engineers on machine learning projects. • Solid understanding of Spark and ability to write, debug and optimize Spark code. Apache Spark on K8s a plus. • Experience building production systems in languages like Go, Python, SQL, Java, Scala • Experience designing and executing AB tests. • 2+ years experience with Kubernetes.

Benefits

• Build best-in-class ML systems for our product using language models and traditional methods. • Provide high quality data for analytics and model training. • Remove the accidental complexity of Data Engineering tasks to empower ML Researchers, SWEs, and Data Scientists to move as quickly and confidently as possible. • Make data go vroom while gpus go brrr