Design, build, and maintain large-scale distributed training infrastructure for Ads ML models. Develop tools and frameworks on top of the Ray platform. Build tools to debug, profile, and tune distributed training jobs for performance and reliability. Integrate with object storage systems and improve data access patterns.
Job listings
Join the Ads team as a Machine Learning Engineer, a key contributor to Redditβs business. You will be responsible for the full lifecycle of our ML systems, from initial research and modeling to deployment and optimization in production. Your work will directly impact how we deliver relevant ads and drive value for our advertisers across areas like ad ranking, bidding, measurement, and optimization.
As a Machine Learning Engineer at Chartbeat, you will contribute to the design, development, and deployment of machine learning systems at scale. You will also collaborate with product managers and cross-functional engineering teams to deliver ML and generative AI powered features and explore upcoming generative AI technologies to solve complex business challenges.