Machine Learning Systems Engineer, Ads ML Platform

Reddit, Inc.

Machine Learning Engineer building scalable infrastructure for Ads ML at Reddit. Collaborating with engineers to enhance feature management systems and support ML workflows.

Posted 6/23/2026full-timeRemote • 🇳🇱 NetherlandsMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowBigQueryKafkaKubernetesPySparkRaySpark

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data infrastructurefeature engineeringdata pipelinesAPIsworkflow systemsdistributed data systemsML infrastructureMLOps workflowsautomation workflowsclean code

Soft Skills

reliability engineeringperformance tuningcost optimizationcollaboration