Senior Machine Learning Manager - Ads Content Understanding

Overview

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 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information.

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The Ads Content Understanding team is a foundational team in Ads Monetization in charge of designing, building, and selecting state of the art techniques to deliver interpretable signals associated with Reddit organic and business content (post, comments, ads, creatives, linked content/media).

Signals & Content understanding infrastructure produced by this team it’s at the core of our Ads Marketplace AI, our Community Intelligence Engine & Ads Insights capabilities, and the key systems that power all our Reddit Monetization products. This team is a central investment for Reddit Monetization efforts to highlight one of our biggest differentiators in the internet: genuinely curated, high quality, extremely relevant, and daily updated organic & commercial content.

We are a Machine Learning/Data heavy team with a focus in the following areas:

• Knowledge Graph - Semi-automatic curation, expansion, and utilization of Reddit very own Knowledge database, NLP tokenization, NER models, disambiguation systems at entity level
• Contextual Signals - Make sense of Posts, Landing pages, Ads Placements, Organic Topics using team owned engines in combination with other Reddit’s content understanding teams
• Marketplace Efficiency - Helping Ads Targeting, Ranking, Quality, & Measurement to deliver best in class performance leveraging our interpretable signals directly or indirectly with our partner semantic representations and feature engineering teams
• Business & Community Intelligence Applications - Bring Contextual Signals (Web, APIs, Custom Reporting) to our Advertisers to empower a new generation of Business Intelligence and help Brands understand Reddit better

We are looking for a Senior Engineering Manager with industry-relevant ML expertise to lead the Ads Content Understanding team composed of MLEs, SWEs, and Data experts across US & EU geos.

• 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

• 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, Dynamo
  
  DB), Document based DBs (Mongo
  
  DB, 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

• Experience managing ML heavy engineering teams
• Experience with Ads
• Experience with Natural Language Understanding (ML science and infra)
• Industry relevant scientific contribution in the field of NLP and Content Understanding
• Experience…