Machine Learning Systems Engineer (ML Platform)

TL;DR

Machine Learning Systems Engineer (ML Platform): Building a scalable feature platform for Ads ML with an accent on high-scale data infrastructure, batch and real-time feature management. Focus on designing reliable data pipelines, implementing feature governance, and developing agentic ML workflows to improve ML engineer productivity.

Location: Must be based in the UK or the Netherlands

Company

Reddit is a community-driven platform for authentic conversations across 100,000+ active communities.

What you will do

• Design and build data infrastructure for large-scale feature and training set computation and storage.
• Develop reliable and scalable frameworks for batch and real-time features.
• Implement feature governance capabilities including lineage tracking, drift detection, and versioning.
• Collaborate with ML engineers to integrate feature engineering workflows into production systems.
• Create systems for agentic ML workflows, such as automated feature discovery and quality evaluation.
• Optimize operational excellence through observability, performance tuning, and cost reduction.

Requirements

• 3+ years of experience in data infrastructure, platform engineering, or ML infrastructure platforms.
• Proven track record of building production services, data pipelines, APIs, or workflow systems.
• Proficiency with distributed systems like Spark, PySpark, Flink, Kafka, Ray, Airflow, Kubernetes, or BigQuery.
• Experience with ML data workflows such as feature generation, training datasets, and online serving.
• Strong coding skills with an emphasis on clean, maintainable, and well-tested code.

Nice to have

• Experience building intelligent automation or agentic workflows for ML systems.
• Knowledge of MLOps workflows spanning from feature engineering to model deployment.

Culture & Benefits

• Flexible "flexible first" workforce policy allowing remote work within designated countries.
• Comprehensive medical and mental health benefits, including a 100% employer-sponsored medical plan.
• Family planning and gender-affirming care support.
• Private pension plan with employer matching.
• Flexible vacation and paid volunteer time off.