Senior

Build Reddit's next-gen ML experimentation and agentic AI platform for Ads ML

Design and build large-scale offline ML experimentation platforms, production training orchestration frameworks, and an agentic AI execution platform that powers Reddit's Ads ML lifecycle from experimentation through autonomous operations. A fit for a senior infra/platform engineer with 5+ years in distributed systems and 2+ years building production ML infrastructure who wants to define foundational tooling for multi-agent, human-in-the-loop workflows.

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What this interview tests

Offline ML experimentation platform design (reproducibility, promotion workflows)
Distributed training orchestration (hyperparameter tuning, automated retraining)
Distributed data processing systems (Spark/Flink/Ray) and workflow orchestrators (Kubeflow/Argo/Airflow)
Experiment tracking, lineage, model registries, artifact versioning
Agentic AI execution platforms (multi-agent orchestration, MCP/A2A, memory/context systems)
Partnering with ML engineers/researchers to raise experimentation velocity