about 2 hours ago
Base Salary
$226k - $241k/yr
Responsibilities
- Improve the performance of Ray Data and multi-modal batch inference use cases.
- Ensure efficient scaling across different stages of the data pipeline in heterogeneous environments.
- Build data loading solutions for production training workloads.
- Focus on stability and fault tolerance at high scale.
- Work with customers and AI-native companies to scale their AI workloads.
Requirements
- At least 3-4 years of relevant work experience.
- Solid background in building scalable and fault-tolerant distributed systems.
- Experience with data processing and database internals.
- Passionate about large scale systems and performance for AI.