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© All Rights Reserved. ApplyBlast.com
Anyscale
This role involves designing, building, and optimizing core systems for Ray Data, a Python-native data processing engine for scalable AI workloads. The position focuses on distributed execution, performance optimization, and solving complex challenges in data partitioning and fault tolerance. The engineer will collaborate with customers to address scaling challenges in production training and inference environments.
Headquarters
San Francisco, California, United States
Company Size
51-200 employees
Founded
2019
Anyscale provides a production-ready platform for running and scaling ML and AI workloads across cloud and on‑premises infrastructures, powered by the open‑source Ray distributed compute framework. It offers managed Ray, cluster orchestration, autoscaling, and tooling for distributed training, inference, and job orchestration to simplify moving models from research to production. The platform emphasizes developer experience, observability, and enterprise features (security, hybrid/multi‑cloud support and integrations with popular ML frameworks). Teams use Anyscale to make Ray accessible and dependable for large‑scale, real‑world AI applications.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Anyscale.
65% above the average for this role