Reddit is looking for a Senior Machine Learning Manager - Ads Content Understanding to lead a foundational team within Ads Monetization. You will be responsible for designing, building, and selecting techniques to deliver interpretable signals from Reddit content, managing a team across US and EU geographies.

What You'll Do

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.
Set and support a culture of data-informed decision making, with efficient processes and strong transparency.
Facilitate collaboration between different Content Understanding platforms across Reddit with an eye towards platform and signal consolidations.
Raise the bar across modeling and exploration phases in the Content Understanding space.
Collaborate with cross-functional team leads to understand business requirements and translate them into technical directions.

What We're Looking For

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++.
Excellent communication skills, both written and verbal, and the ability to work effectively with product managers, data scientists, and other stakeholders.

Nice to Have

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.

Technical Stack

Languages: Python, Go, Java, C++
Streaming & Data: Kafka, Amazon Simple Queue Service, Apache Spark, Apache Flink
Databases: Redis, DynamoDB, MongoDB, Cassandra
Infrastructure: Kubernetes, Mesos
ML Tools: MLflow, Tensorflow, Kubeflow