3 months ago
San Francisco, CA, USASenior / Mid Level
Responsibilities
- Build scalable pipelines and event-driven systems for data ingestion and transformation.
- Support machine learning workflows including training data and feature pipelines.
- Address reliability, latency, and scale challenges in distributed systems.
- Enhance observability and tooling for ML and data systems.
Requirements
- 3+ years of experience in building data platforms or ML infrastructure.
- Strong fundamentals in distributed systems and streaming architectures.
- Experience with modern data stack tools such as queues and orchestration.
- Proficiency in coding with Go, Python, or similar languages.