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Anyscale

Scales AI workloads with Ray platform

Customer Engineer - Infrastructure

Customer SuccessConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAHybrid

About the Job

Requirements

  • At least 7 years of experience in a machine learning role in a dynamic, fast-paced, startup-like environment.
  • Strong organizational skills and the ability to manage multiple customer needs simultaneously.
  • Proficiency in developing data pipelines for training, fine-tuning, and inference or serving of large language models.
  • Experience running and optimizing infrastructure for distributed machine learning workloads on major cloud platforms, including Amazon Web Services with Elastic Kubernetes Service, Google Cloud Platform with Google Kubernetes Engine, or Microsoft Azure with Azure Kubernetes Service.
  • Willingness to up-level peers' knowledge and skills through mentorship, training, and shadowing.

Responsibilities

  • Resolve customer issues and support successful adoption of the Anyscale platform.
  • Act as a technical advisor and internal champion for key customers.
  • Own customer issues end-to-end, including troubleshooting, triage, escalation, and resolution.
  • Participate in a follow-the-sun customer support model to ensure continuity in resolving high-priority tickets.
  • Track open customer bugs and feature requests to influence prioritization and provide timely customer updates when issues are resolved.
  • Improve internal tools and document playbooks, guides, and best practices based on observed patterns.
  • Provide feedback and collaborate with product and engineering teams to address customer issues and improve the product experience.
  • Build and maintain strong relationships with technical stakeholders within customer accounts.

Desired Qualifications

  • Experience with Ray.
  • Knowledge of MLOps platforms.
  • Knowledge of container orchestration platforms such as Kubernetes, infrastructure-as-code tools such as Terraform, and continuous integration and continuous delivery tools such as GitHub Actions.

About the Company

Anyscale

Scales AI workloads with Ray platform

Anyscale helps enterprises run AI workloads at scale by providing a software platform built around the Ray open-source framework. The core product enables users to deploy, manage, and optimize distributed AI tasks—from training to inference—across large clusters, with features that handle scaling, fault tolerance, and resource management. The platform is delivered as a software-as-a-service, so customers pay a subscription to access tools for running Generative AI, large language models, computer vision, and other ML workloads efficiently and reliably. Unlike others who focus on individual components, Anyscale combines Ray’s distributed execution with enterprise-ready management, monitoring, and optimization to productionize AI applications. The company’s goal is to help organizations deploy AI workloads faster, at scale, with predictable performance and cost efficiency.

Company size
501-1,000
Company stage
Acquired
Total funding
$259.6M
Headquarters
San Francisco, CA
Founded
2019

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