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As a Senior Machine Learning Systems Engineer at Reddit, you will lead the development of a platform for large-scale ML models. Your primary responsibilities will include designing end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, zero-to-one development and support of a graph ML codebase and platform, collaborating with ML engineers on performance tuning, optimizing batch data processing, and architecting pipelines to build and maintain massive graph data structures.

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To be successful in this role, you will need 5+ years of experience in ML infrastructure, including model training and model deployments, hands-on experience with ML optimization, deep experience with cloud-based technologies, and proficiency with common programming languages and frameworks of ML. You should also have strong organizational and communication skills, experience working with graph databases and graph neural networks, and a deep understanding of the machine learning development lifecycle.

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In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.

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XML job scraping automation by YubHub

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