Netherlands
2 weeks ago
Machine Learning Systems Engineer, Ads ML Platform
Reddit, Inc.
Netherlands
2 weeks ago
Machine Learning Systems Engineer, Ads ML Platform
Reddit is seeking a Machine Learning Systems Engineer for its Ads ML Platform team. The role involves building scalable data infrastructure and feature management systems for ML. Candidates should have 3+ years in data infrastructure or ML platforms and experience with distributed systems like Spark, Kafka, or Kubernetes.
AIRemoteFull-timeMid LevelApache SparkPySpark
Machine Learning Systems Engineer, Ads ML Platform
Reddit is seeking a Machine Learning Systems Engineer for its Ads ML Platform team. The role involves building scalable data infrastructure and feature management systems for ML. Candidates should have 3+ years in data infrastructure or ML platforms and experience with distributed systems like Spark, Kafka, or Kubernetes.
AIRemoteFull-timeMid LevelApache Spark
Salary
Not specified
Core Qualifications
Technical (Must-have)
Apache SparkPySparkApache FlinkApache KafkaRayApache AirflowKubernetesBigQueryMachine LearningMLOpsFeature EngineeringData PipelinesAPIsWorkflow SystemsDeveloper Tools
Soft Skills
CollaborationOperational Excellence
Preferred Qualifications
Technical (Nice-to-have)
Intelligent AutomationAgentic WorkflowsModel DeploymentOnline ServingExperimentation
Key Responsibilities
- Design and build data infrastructure for large-scale feature and training set computation, transformation, and storage.
- Develop frameworks for batch and real-time features focusing on reliability, scalability, and ease of use.
- Build platform capabilities for feature governance including lineage tracking, validation, drift detection, anomaly monitoring, reproducibility, and versioning.
- Partner with ML engineers to integrate feature engineering workflows into ML production systems.
- Build systems for agentic ML workflows including automated feature discovery, quality evaluation, and lifecycle management.
- Contribute to operational excellence through observability, performance tuning, reliability engineering, and cost optimization.
Machine LearningData InfrastructureML PlatformAdsRemoteNetherlandsUKSparkKafkaKubernetes