4 weeks ago

Machine Learning Systems Engineer, Ads ML Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Design and scale data infrastructure for the Ads ML feature platform, building high-scale data pipelines and training-set computation with batch and real-time processing. Create developer-facing tools and ML workflows, focusing on reliability, observability, and governance. Collaborate with ML engineers to integrate feature engineering into production, enabling agentic ML workflows and cost-efficient operations.

Location: Netherlands, United Kingdom

Workplace: Remote

Employment Type: Full time

Job Function: IT Operations (Systems/Network Admin)

Key Responsibilities

•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 and feature lifecycle management.

Pay and Benefits

Perks:Health InsurancePensionRemote WorkPaid LeaveParental LeaveWellness StipendLearning Budget

Key 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 distributed data or compute systems (e.g., Spark, PySpark, Flink, Kafka, Ray, Airflow, Kubernetes, BigQuery) or similar.
•Familiarity with ML data workflows such as feature generation, training dataset creation, batch processing, real-time data processing, or online serving.
•Strong coding skills and ability to write clean, maintainable, well-tested code.

Experience:3+ yearsData infrastructureML infrastructureDistributed systems

Skills:CommunicationProblem-solvingCollaborationInfrastructureData pipelinesDevelopment tooling

Languages:English

Tech Stack:SparkPySparkFlinkKafkaRayAirflowKubernetesBigQueryPython

Company Brief

Operates Reddit, a large online community and discussion platform where users submit content, comment, and vote across topic-based communities (subreddits); monetizes via advertising, premium subscriptions, and awards.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2005

Website LinkedIn

Loading job details...

Preparing the role view and application actions.