Senior Machine Learning Engineer, Ads ML Platform

Навыки

• Распределённые системы
• Machine Learning
• MLOps
• Мониторинг и observability
• Оптимизация производительности
• Scala
• Spark

О компании и продукте

• 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 deep experience in building high-scale data infrastructure and ML platforms to help evolve and scale our feature management systems.

Задачи

• 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
• Drive architecture and technical direction for high-scale ML platform infrastructure powering ads ranking, targeting, and optimization systems
• Contribute to operational excellence through observability, performance tuning, reliability engineering, and cost optimization initiatives
• 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

Требования

• 5+ years in infrastructure/platform engineering or large-scale distributed systems
• 2+ years of hands-on experience building or operating ML platform infrastructure and production ML systems
• Proficiency with large-scale feature computation frameworks (Spark, PySpark, or Scala)
• Expertise in distributed systems (scaling, partitioning, fault tolerance, caching)
• Experience building intelligent automation or agentic workflows for ML systems is a strong plus, including areas such as automated pipeline management, feature recommendations, evaluation systems, or AI-assisted developer tooling
• Experience with ML infrastructure and MLOps workflows spanning feature engineering, training pipelines, experimentation, model deployment, and online serving is a plus

Условия

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave
• 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
• Reddit has a flexible workforce!
• If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like
• Don't live near one of our offices?
• No worries: You can apply to work remotely in any country in which we have a physical presence

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