Machine Learning Systems Engineer, Ads ML Platform

🕒 June 23

🌐 United Kingdom, Netherlands – Remote

🇬🇧 United Kingdom – Remote 🇳🇱 Netherlands – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⚙️ Systems Engineer

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Reddit, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2005

💼 Consulting

📣 Marketing

📱 Media

Consulting • Marketing • Media

Reddit, Inc. is a social media platform that acts as a hub for thousands of communities, where users can engage in diverse conversations ranging from breaking news to niche interests. It enables users to post, comment, and vote on content, fostering a vibrant online community. Millions of people globally connect and share their passions on Reddit, creating a dynamic environment for authentic human interaction.

📋 Description

• Design and build data infrastructure that supports large-scale feature and training set computation, transformation, and storage. • Develop frameworks for batch and real-time features with a focus 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 ensure smooth integration of feature engineering workflows into ML production systems. • Build systems that support agentic ML workflows, including automated feature discovery, feature quality evaluation and feature lifecycle management • Contribute to operational excellence through observability, performance tuning, reliability engineering, and cost optimization initiatives.

🎯 Requirements

• 3+ years in data infrastructure/platform engineering or ML infrastructure platforms. • Hands-on experience building production services, data pipelines, APIs, workflow systems, or developer tools. • Experience with at least one distributed data or compute system such as Spark, PySpark, Flink, Kafka, Ray, Airflow, Kubernetes, BigQuery, or similar technologies. • Familiarity with ML data workflows such as feature generation, training dataset creation, batch processing, real-time data processing, model training, experimentation, or online serving. • Strong coding skills and ability to write clean, maintainable, well-tested code. • Experience building intelligent automation or agentic workflows for ML systems is a strong plus • Experience with ML infrastructure and MLOps workflows spanning feature engineering, training pipelines, experimentation, model deployment, and online serving is a plus

🏖️ Benefits

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support • Family Planning Support • Gender-Affirming Care • Mental Health & Coaching Benefits • Group Personal Pension Scheme with Employer match • Private Medical and Dental Scheme • Income Replacement Programs • Bike to Work scheme • Flexible Vacation & Paid Volunteer Time Off • Generous Paid Parental Leave