Customer Success Engineer
RescalePart Time
Entry Level & New Grad
Key technologies and capabilities for this role
Common questions about this position
Candidates need 5+ years of experience in a customer-facing technical role, including 2+ years in a dynamic, fast-paced, startup-like environment, along with strong organizational skills to manage multiple customer needs.
Proficiency in deploying and resolving issues within container orchestration platforms such as Kubernetes and working with infrastructure as code tools is required.
This information is not specified in the job description.
This information is not specified in the job description.
The role is in a collaborative, fast-paced environment, following a follow-the-sun customer support model, with close coordination across product and engineering teams.
Platform for scaling AI workloads
Anyscale provides a platform designed to scale and productionize artificial intelligence (AI) and machine learning (ML) workloads. Its main product, Ray, is an open-source framework that helps developers manage and scale AI applications across various fields, including Generative AI, Large Language Models (LLMs), and computer vision. Ray allows companies to enhance the performance, fault tolerance, and scalability of their AI systems, with some users reporting over 90% improvements in efficiency, latency, and cost-effectiveness. Anyscale primarily serves clients in the AI and ML sectors, including major companies like OpenAI and Ant Group, who rely on Ray for training large models. The company operates on a software-as-a-service (SaaS) model, charging clients a subscription fee for access to the Ray platform. Anyscale's goal is to empower organizations to effectively scale their AI workloads and optimize their operations.