Senior Machine Learning Systems Engineer, Ranking Platform

Reddit is a community of communities, hosting open conversations and information sharing. They are seeking a Senior Machine Learning Systems Engineer for their ML Ranking Platform, responsible for designing and maintaining scalable ranking systems that enhance user experience across various products.

Responsibilities:

• Design and implement the next generation ML ranking system that powers the personalized feeds, search and other products at Reddit
• Design and develop ML and Generative AI systems in cloud-based production environments at scale
• Partner closely with Product, Infrastructure and Engineering teams and translate requirements into scalable ML systems
• Write efficient, scalable and maintainable code that will help us iterate quickly and safely
• Champion and drive engineering processes and best practices
• Raise the bar for engineering across the team through code reviews, mentorship and knowledge sharing

Requirements:

• 5+ years of experience as a software engineer developing large-scale distributed systems and data intensive ML based system, using Go, Python, C++ or any object oriented programming language
• 5+ years of experience with designing and implementing large-scale performant and reliable machine learning systems
• Experience with developing and improving tools such as deployment, automation, system diagnosis, ML monitoring etc
• Strong organizational skills with the ability to prioritize tasks and keep projects on schedule with a strong attention to detail
• BS degree in Computer Science, a similar technical field of study or equivalent practical experience
• Familiar with software engineering best practices such as unit testing and code reviews, design, and documentation
• Entrepreneurial spirit. You are self-directed, innovative, and biased towards action in fast-paced environments. You love to build new things and thrive in ambiguity and even failure
• Excellent communication skills. You collaborate effectively with teams in a fully remote environment and discuss complex topics with technical and non-technical audiences
• Experience with recommendation systems is preferred