Senior Machine Learning Systems Engineer, Ads ML Experience Platform

Details

Reddit is building the next generation of machine learning research tools and agentic AI platforms that power machine learning development across the company. The Ads ML Experience Platform team accelerates the machine learning lifecycle—from experimentation and training to deployment, evaluation, and autonomous operations—through scalable platform services, intelligent automation, and developer-centric tooling.

The team owns offline ML experimentation systems, production training orchestration frameworks, ML lifecycle automation, and agentic ML frameworks that enable faster model iterations.

Responsibilities

• Design and build large-scale offline ML experimentation platforms that enable reproducible research, model development, evaluation, and promotion workflows.
• Develop production-grade training orchestration frameworks supporting distributed training, hyperparameter optimization, model evaluation, and automated retraining.
• Build infrastructure for experiment tracking, metadata management, lineage, artifact versioning, model registries, and reproducibility.
• Partner with ML engineers and researchers to improve experimentation velocity and operational efficiency.
• Build automated workflows for model promotion, rollback, compliance validation, and continuous evaluation.
• Design and build an agentic AI execution platform supporting autonomous and human-in-the-loop workflows, including multi-agent orchestration, memory and context systems, and scalable workflow infrastructure.

Requirements

• 5+ years of experience in infrastructure or platform engineering or large-scale distributed systems.
• 2+ years of hands-on experience building and operating production ML infrastructure, developer SDKs, platform APIs, or self-service AI tooling.
• Experience building workflow orchestration systems, developer platforms, or large-scale automation frameworks.
• Experience with distributed data processing systems such as Spark, Flink, Ray, or equivalent technologies.
• Experience with modern orchestration and workflow technologies such as Kubeflow, Argo, Airflow, or similar frameworks.
• Experience building offline ML experimentation platforms, model registries, experiment tracking systems, or training orchestration frameworks.
• Experience building and operating agentic AI systems, including multi-agent orchestration, autonomous workflows, and agent communication or runtime frameworks such as MCP, A2A, and orchestration systems, is a strong plus.
• Experience running end-to-end model development and iteration cycles at scale is a plus.

Benefits

• Comprehensive healthcare benefits and income replacement programs.
• 401(k) with employer match.
• Global benefit programs supporting workspace, professional development, caregiving, and other needs.
• Family planning support.
• Gender-affirming care.
• Mental health and coaching benefits.
• Flexible vacation and paid volunteer time off.
• Generous paid parental leave.

Compensation

The base salary range for this position is $216,700–$303,400 USD. The position is also eligible to receive equity in the form of restricted stock units and, depending on the position offered, may be eligible to receive a commission. Final offer amounts are determined by factors including skills, depth of work experience, and relevant licenses or credentials.

Reddit is an equal opportunity employer committed to building a workforce representative of the diverse communities it serves. The company provides reasonable accommodations for qualified individuals with disabilities and disabled veterans during the application and interview process.