2 months ago
Base Salary
$215k - $230k/yr
Responsibilities
- Improve Ray Data performance for multimodal batch inference use cases.
- Ensure efficient scaling across different stages of data pipelines in heterogeneous environments.
- Build data-loading solutions for production training workloads.
- Improve stability and fault tolerance at high scale.
- Work with customers and AI-native companies to scale their AI workloads.
- Develop, maintain, optimize, and scale Ray Data for complex AI workloads.
Requirements
- At least 3–4 years of relevant work experience.
- Strong background building scalable and fault-tolerant distributed systems.
- Experience with data processing and database internals.
- Passion for large-scale systems and performance for AI.
Benefits
- Anyscale is an Equal Opportunity Employer.
- Anyscale is an E-Verify company.
Tech Stack
Categories
Data Engineering
About Anyscale
Anyscale builds a cloud platform and tools to run Ray, the open-source framework for distributed Python and AI/ML workloads, enabling teams to scale data prep, training, and inference. It monetizes through a managed service, enterprise features, and support for Ray deployments. Founded in 2019 and headquartered in San Francisco, this privately held company is the commercial steward of Ray, widely used to power production AI systems.