Machine Learning Systems Engineer, Ads ML Platform
Stockholm, Sweden · Remote OK
Mid level$1.3B raised
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$680k–$695k/yr
Entry level$26M raised
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Customer Engineer, AI Natives, Junior Talent Programme
Stockholm, Sweden · On-site
$680k–$695k/yr
Entry level$26M raised
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Att välja Capgemini innebär att välja en arbetsplats där du får möjlighet att forma din karriär på det sätt du önskar, med stöd och inspiration från en stark gemenskap av kollegor världen över. Bli en del av oss och bidr…
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Machine Learning Systems Engineer, Ads ML Platform
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Full-time
Global Benefit Programs, Workspace Support, Professional Development, Caregiving Support, Family Planning Support, Gender-Affirming Care
Posted 9d ago
~40 hrs/week
Remote in United Kingdom, The Hague, Zuid-Holland, Netherlands
Responsibilities
Design and build scalable data infrastructure for large-scale feature and training set computation and storage. Develop frameworks for batch and real-time features while partnering with ML engineers to integrate workflows into production systems.
Requirements
Requires 3+ years of experience in data or ML infrastructure platforms with proficiency in distributed compute systems like Spark or Kubernetes. Candidates must have strong coding skills and familiarity with ML data workflows such as feature generation and online serving.
Full job description
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 130 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
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
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
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.
Related keywords
Machine LearningAds ML PlatformFeature ManagementTraining Set GenerationAgentic ML WorkflowsFeature GovernanceLineage TrackingDrift DetectionAnomaly MonitoringReproducibilityVersioningObservabilityPerformance TuningReliability EngineeringCost OptimizationMLOps
The heart of the internet, where millions gather for conversation and community.
Industry
Social Networking Platforms
Company size
1,001-5,000 employees
Founded
2005
Headquarters
San Francisco, California
LinkedIn followers
508,334
Total funding
$1.3B
Reddit is the heart of the internet, where millions of people get together to talk about any topic imaginable. Share, vote, and decide what matters in everything from breaking news, to fandoms, lifehacks, gaming, sports, health, and the internet’s cutest animals. With over 100,000 subreddit communities about every topic you could think of (and thousands more you couldn’t), whatever it is, there’s a place for you on Reddit.
Interested in joining our growing team? Check out redditinc.com/careers.
Offices: San Francisco, California 94103, US
Software EngineeringFull-Stack EngineeringFrontend EngineeringBackend EngineeringSocial MediaData Science Mobile Appsand Online AdvertisingConsumerSocial Media
How many Software jobs are open in Stockholm, Sweden right now?
There are currently 785 open software positions in Stockholm, Sweden listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Software roles in Stockholm, Sweden?
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Are there remote or hybrid Software jobs in Stockholm, Sweden?
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