Senior Machine Learning Manager – Ads Content Understanding

November 14

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Logo of Reddit, Inc.

Reddit, Inc.

B2C • Media • Social Impact

Reddit, Inc. is a social media platform that acts as a hub for thousands of communities, where users can engage in diverse conversations ranging from breaking news to niche interests. It enables users to post, comment, and vote on content, fostering a vibrant online community. Millions of people globally connect and share their passions on Reddit, creating a dynamic environment for authentic human interaction.

501 - 1000 employees

Founded 2005

👥 B2C

📱 Media

🌍 Social Impact

📋 Description

• Coach, Motivate, Build, Hire, and Lead a world-class team of ML practitioners, experts, and engineers • Lead, coordinate, and execute a coherent vision for a robust roadmap of Commercial Content Understanding capabilities to unlock a fully context aware Ads Monetization system (Platform + Marketplace) and support with authentically unique Business Intelligence insights our Ads Sales and Marketing efforts • Set and support a culture of data-informed decision making, with efficient processes and strong transparency • Facilitate the collaboration between the different Content Understanding platforms in use across Reddit with an eye towards platform & signal consolidations • Raise the bar across modeling & exploration phases in the Content Understanding space • Collaborating with cross-functional team leads (EMs, PMs, DSs) to understand business requirements and translate them into technical directions

🎯 Requirements

• 8+ years of industry experience as a SWE, DSM, or MLE • 6+ years managing engineers • 2+ years managing MLEs • Experience with at least two general programming languages such as Python, Go, Java, C++ • Preferred experience in one or more of the following areas: Message Queuing Services (Kafka, Amazon Simple Queue Service), Data Processing Frameworks (Apache Spark, Apache Flink), Key Value Stores (Redis, DynamoDB), Document based DBs (MongoDB, Cassandra), Container Orchestration (Kubernetes, Mesos), ML Ops ((ML | Tensor | Kube)flow) • Excellent communication skills, both written and verbal, and the ability to work effectively with product managers, data scientists, and other stakeholders.

🏖️ Benefits

• Comprehensive Health benefits • Registered Retirement Savings plan with matching contributions • Income Replacement Programs • Family Planning Support • Gender-Affirming Care • Mental Health & Coaching Benefits • Flexible Vacation & Reddit Global Days Off

Apply Now

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