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Senior Machine Learning Systems Engineer, Ads ML Experience Platform

Reddit
Remote - United StatesUpdated 41d ago
Base salary
$217k–$303k
Published base salary range
Location
Remote - United States
Remote eligibility
Employment
Full-time
Senior
Role family
Engineering
Media / Creator
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About the job

Reddit is a community of communities, built on shared interests and trust, with 100,000+ active communities and approximately 130 million daily active unique visitors. The Ads ML Experience Platform team builds next-generation ML research tools and agentic AI platforms to accelerate the Ads ML lifecycle, from experimentation and training to deployment, evaluation, and autonomous operations. The team owns offline ML experimentation systems, production training orchestration frameworks, ML lifecycle automation, and agentic ML frameworks.

What You'll Do

  • Design and build large-scale offline ML experimentation platforms for 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.
  • 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 and scalable workflow infrastructure.

What You Bring

  • 5+ years in infrastructure/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 with workflow orchestration systems, developer platforms, or large-scale automation frameworks.
  • Experience with distributed data processing systems such as Spark, Flink, Ray, or equivalent.
  • Experience with orchestration and workflow technologies such as Kubeflow, Argo, Airflow, or similar.
  • Experience building offline ML experimentation platforms, model registries, experiment tracking systems, or training orchestration frameworks.
  • Experience building and operating agentic AI systems is a strong plus.

Benefits: Comprehensive healthcare, 401k with employer match, flexible vacation, paid parental leave, mental health and coaching benefits, family planning support, and more.

Pay Transparency: Base salary range for this position is $216,700—$303,400 USD, plus equity.

Skills & tags

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