Salary
💰 $185,800 - $260,100 per year
Tech Stack
CassandraDistributed SystemsGoKafkaKubernetesOpen SourcePythonRedisScala
About the role
- Architect, implement, and maintain foundational ML infrastructure to compute, store, and retrieve features used across Reddit
- Build and operate the ML Feature Platform that powers Feeds Ranking, Content Understanding, Recommendations, Ads, and other ML systems
- Work with ML teams (Growth, Ads, Feeds, Core ML) to deliver reliable, fast feature computation and serving at Reddit scale
- Tinker with large-scale data, improve performance, reliability, testing, evaluation, and monitoring of feature pipelines
- Ship platform features that directly impact content discovery and recommendation quality
Requirements
- 2-3+ years of work experience in a production software development environment
- Experience working on large-scale systems serving 100s of millions of users
- Experience building production-quality code incorporating testing, evaluation, and monitoring using object-oriented programming
- Experience in Python, Scala, and golang
- Experience with Kubernetes
- Knowledge of maintaining or developing applications using large-scale open source data stack (e.g., Kafka, Flink, Cassandra, Redis)
- Comfortable with distributed systems, big data (Petabyte scale) and data-intensive systems
- Strong organizational & communication skills