data
Posted 2 hours agoMachine Learning Systems Engineer, Ads ML Platform
at Redditinc
United KingdomRemote
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
- Build systems that support agentic ML workflows, including automated feature discovery, feature quality evaluation and feature lifecycle management
Requirements
- With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
- 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.
- 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
- Partner with ML engineers to ensure smooth integration of feature engineering workflows into ML production systems.
- 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:
- In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI).
Experience
- 3+ years in data infrastructure/platform engineering or ML infrastructure platforms. Hands-on
Benefits
- Gender-Affirming Care
- Group Personal Pension Scheme with Employer match
- Private Medical and Dental Scheme
- Income Replacement Programs Bike to Work scheme
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
Contact
- For more information, visit www.redditinc.com .
Additional details
- It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet.
- 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
- Contribute to operational excellence through observability, performance tuning, reliability engineering, and cost optimization initiatives. What You Bring
- experience building production services, data pipelines, APIs, workflow systems, or developer tools. •
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
- 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.