Build large-scale ML experimentation and training orchestration platforms, including agentic AI execution systems, to accelerate Ads ML development at Reddit. Requires 5+ years infrastructure experience and 2+ years building production ML platforms.
217k – 303k
Remote5+ YOEML Engineering
About the role
What You’ll Do
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/context systems, 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 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/runtime frameworks (e.g., MCP, A2A, and orchestration systems) is a strong plus.
Experience running end-to-end model development and iteration cycles at scale is a plus.
Skills
SparkFlinkRayKubeflowArgoAirflowMl Experimentation PlatformsModel RegistriesExperiment TrackingTraining OrchestrationAgentic Ai SystemsMulti-Agent Orchestration
Senior Machine Learning Engineer building and shipping production ML systems for Ads Content Understanding at Reddit. Focus on LLMs, content taxonomies, opinion mining, product understanding, and operationalizing signals for monetization impact. Requires 5+ years delivering scalable ML in production.
217k – 303k
Remote5+ YOEML Engineering
Senior Machine Learning Engineer, Ads
RedditUnited States
Design, build, and deploy production ML systems for recommendations, search, ranking, and advertising at internet scale. Own the full ML lifecycle from modeling to monitoring with strong cross-functional collaboration.
217k – 303k
Remote5+ YOEML Engineering
Senior Machine Learning Systems Engineer
RedditUnited States
Design and build scalable ML ranking systems powering Reddit's personalized feeds, search, and recommendations at massive scale. Requires 5+ years building large-scale distributed ML systems.
217k – 303k
Remote5+ YOEML Engineering
Senior Machine Learning Engineer, GenAI Security
RedditUnited States
Leads development of security-focused ML models for GenAI traffic at Reddit, owning the full ML lifecycle from data ETL to production deployment and monitoring. Requires 5+ years experience with PyTorch/TensorFlow, deep learning architectures, and MLOps for adversarial security risks.
217k – 303k
Remote5+ YOEML Engineering
Senior Machine Learning Systems Engineer
RedditUnited States
Leads development of large-scale ML platforms, focusing on MLOps, graph ML infrastructure, performance tuning, and distributed training optimization. Requires 5+ years in ML infrastructure with expertise in PyTorch, Kubernetes, Ray, and cloud tools.