Reddit's Ads Content Understanding team needs to design, build, and select state-of-the-art techniques to deliver interpretable signals associated with Reddit organic and business content. This infrastructure is core to their Ads Marketplace AI, Community Intelligence Engine, Ads Insights capabilities, and Monetization products, aiming to enhance ads targeting, ranking, quality, and measurement, and provide advertisers with business intelligence insights.
Requirements
- 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)
- Experience managing ML heavy engineering teams
- 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
Responsibilities
- 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
- 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
- Coach, Motivate, Build, Hire, and Lead a world-class team of ML practitioners, experts, and engineers
- Set and support a culture of data-informed decision making, with efficient processes and strong transparency
Other
- 8+ years of industry experience as a SWE, DSM, or MLE
- 6+ years managing engineers
- 2+ years managing MLEs
- Excellent communication skills, both written and verbal, and the ability to work effectively with product managers, data scientists, and other stakeholders
- 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).
