Machine Learning Systems Engineer, Ads ML Platform

Reddit; United States; On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Global Benefit programs

Family Planning Support

Mental Health & Coaching Benefits

Private Pension plan with Employer-matching

100% employer-sponsored group medical plan

Income Replacement Programs

Job summary

Reddit is seeking a Machine Learning Systems Engineer for the Ads ML Platform. This role involves building and scaling data infrastructure to support feature computation and ease the workload of ML engineers.

Ideal candidates should have a solid background in data infrastructure/platform engineering with at least 3 years of experience. The position offers a flexible work environment, with remote options available in the UK or Netherlands. Benefits include comprehensive medical coverage and support for family planning.

Qualifications

• 3+ years of experience in data infrastructure or ML infrastructure platforms.
• Hands-on experience building production services and data pipelines.
• Experience with distributed data systems and ML data workflows.

Responsibilities

• Design and build data infrastructure for feature computation and storage.
• Develop frameworks for batch and real-time feature processing.
• Partner with ML engineers for smooth integration of workflows.

Skills

Data infrastructure/platform engineering

Distributed data or compute systems (e.g., Spark, Kafka)

ML data workflows

Strong coding skills

Tools

Kubernetes

BigQuery

Airflow

Job description

Machine Learning Systems Engineer, Ads ML Platform

Remote - The Netherlands

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Location: Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands.

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.

We are looking for an engineer with experience in building high-scale data infrastructure and exposure to ML platforms to help evolve and scale our feature management systems.

This is not a pure ML modeling role. The ideal candidate is excited about building reliable infrastructure, data pipelines, and developer-facing tools that make ML engineers more productive.

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.

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. 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.