1 month 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.
Tech Stack
Categories
Data Engineering
About Anyscale
Anyscale enables Python developers to build and run all their AI—from data prep to training and inference—at any scale. Anyscale is trusted by leading AI teams at Canva, TripAdvisor, Physical Intelligence, Coinbase and more.