Senior Machine Learning Systems Engineer (Ads ML)

TL;DR

Senior Machine Learning Systems Engineer (Ads ML): Building and optimizing large-scale ML experimentation platforms and agentic AI frameworks with an accent on distributed systems, training orchestration, and developer tooling. Focus on designing scalable infrastructure for model lifecycle automation, experiment tracking, and autonomous agent execution to accelerate Ads ML development.

Location: Must be based in the United States (Remote or Hybrid in office locations).

Salary: $216,700 - $303,400 USD

Company

Reddit is a community-driven platform connecting millions of users through shared interests and authentic conversations.

What you will do

• Design and build large-scale offline ML experimentation platforms for reproducible research and model development.
• Develop production-grade training orchestration frameworks supporting distributed training and automated retraining.
• Build infrastructure for experiment tracking, metadata management, lineage, and model registries.
• Partner with ML engineers to improve experimentation velocity and operational efficiency.
• Build automated workflows for model promotion, rollback, and compliance validation.
• Design and build an agentic AI execution platform supporting autonomous and human-in-the-loop workflows.

Requirements

• Must be based in the United States.
• 5+ years of experience in infrastructure/platform engineering or large-scale distributed systems.
• 2+ years of hands-on experience building production ML infrastructure, developer SDKs, or platform APIs.
• Experience with distributed data processing systems such as Spark, Flink, or Ray.
• Experience with modern orchestration technologies such as Kubeflow, Argo, or Airflow.
• Experience building offline ML experimentation platforms or training orchestration frameworks.

Nice to have

• Experience building and operating agentic AI systems, including multi-agent orchestration and runtime frameworks.
• Experience running end-to-end model development and iteration cycles at scale.

Culture & Benefits

• Flexible workforce policy with options for remote or office-based work.
• Comprehensive health benefits including medical, dental, and vision insurance.
• 401(k) program with employer match.
• Generous time off for vacation and parental leave.
• Equity in the form of restricted stock units.