Machine Learning Systems Engineer, Ads ML Platform

Reddit Inc.

Job Overview

Location

Remote - The Netherlands

Job Type

Full-time

Full Job Description

📋 Description

• Design and build scalable data infrastructure to support large-scale feature and training set computation, transformation, and storage for Reddit’s Ads ML Platform.
• Develop batch and real-time feature frameworks focused on reliability, scalability, and ease of use for ML engineers.
• Build platform capabilities for feature governance including lineage tracking, validation, drift detection, anomaly monitoring, reproducibility, and versioning.
• Partner closely with ML engineers to integrate feature engineering workflows into production ML systems seamlessly.
• Design and implement agentic and automated ML workflows for feature discovery, quality evaluation, and end-to-end feature lifecycle management.
• Contribute to operational excellence by enhancing observability, performance tuning, reliability engineering, and cost optimization of data infrastructure.
• Create developer-facing tools and APIs that streamline feature engineering and reduce friction in ML model development cycles.
• Ensure data pipelines and systems are robust, maintainable, and capable of handling Reddit’s high-volume, real-time user interaction data.
• Support the evolution of the training dataset generation platform to enable efficient, repeatable, and auditable model training processes.
• Collaborate across teams to standardize feature consumption patterns and enforce data quality standards across the Ads ML ecosystem.
• Maintain and improve the sequence features platform to handle temporal and user-behavioral data at scale.
• Drive adoption of best practices in data engineering and MLOps across the organization through documentation, training, and tooling.
• Optimize infrastructure for cost-efficiency without compromising performance or reliability of feature serving systems.
• Implement monitoring and alerting systems to proactively detect data anomalies, pipeline failures, or feature drift in production.
• Contribute to the architectural roadmap of the Ads ML Platform to ensure long-term scalability and adaptability to evolving business needs.

🎯 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.

🏖️ 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.
• Private Pension plan with Employer-matching.
• 100% employer-sponsored group medical plan.
• Income Replacement Programs.
• Flexible Vacation & Paid Volunteer Time Off.
• Generous Paid Parental Leave.

Skills & Technologies

Kubernetes

Kafka

Apache Spark

Remote

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Reddit Inc.

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About Reddit Inc.

Reddit is a social media platform where users submit, vote, and comment on content organized into topic-based communities called subreddits. Founded in 2005, it offers forums for news, hobbies, advice, and discussion, enabling real-time conversations and content ranking through upvotes and downvotes. With millions of daily active users globally, Reddit hosts diverse communities moderated by volunteers, supports multimedia posts, and provides advertising and premium membership options. The platform emphasizes user anonymity, community governance, and crowdsourced information, making it a hub for niche interests, viral content, and public discourse. Reddit went public in 2024 and is headquartered in San Francisco.

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