Reddit is hiring: Senior Machine Learning Manager - Ads Content Understanding in

Senior Machine Learning Manager - Ads Content Understanding

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 is 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.

Responsibilities

• 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

Required Qualifications

• 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

Preferred Qualifications

• 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 with LLM in the context of multimodal Content Understanding
• This role offers flexibility and is remote-friendly - however, it is highly preferred that the candidate is based in the proximity of the SF Bay Area office (Pacific time) or the NYC office (Eastern time).

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

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.