Machine Learning Systems Engineer, Ads ML Platform

Das ist der Job

Location: Reddit has a flexible first workforce.

Darum lohnt es sich

Team Overview We’re building a scalable feature platform that powers Ads ML by making high‑quality features and training datasets easy to build, share, and maintain.

Our small but growing team works on projects like batch & realtime feature management platform, training set generation platform, sequence features platform and, agentic and automated ML workflows for feature lifecycle management.

Benefits Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Mental Health & Coaching Benefits Private Pension plan with Employer‑matching 100% employer-sponsored group medical plan Income Replacement Programs Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.

Machine Learning Systems Engineer, Ads ML Platform Reddit Remote - Posted June 23, 2026 - via Reddit You will be redirected to Reddit to apply. Don’t live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands.

What You’ll Do 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.

What You Bring 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.

Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know. #J-18808-Ljbffr