Customer Support Engineer - West Coast

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2 Locations
In-Office
Artificial Intelligence • Software
The Role

About Anyscale

At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.

With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.

Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.

About the role

The Customer Support Engineer will play a crucial role in the customers’ post-sale journey - helping them to onboard, adopt and grow on Anyscale, troubleshooting and resolving open customer tickets and driving consumption.

Anyscale is an ever evolving platform and hence will require close co-ordination with our engineering teams to debug complex issues. This is an exciting role for those who are technically curious and passionate about ML/AI, LLM, vLLM and the role of AI in next generation applications. It’s an opportunity to make a significant impact in a collaborative, fast-paced environment while building a new segment in this space.

In this role, you’ll be able to

  • Resolve customer issues and help in their successful adoption of Anyscale platform

  • Be a technical advisor, and internal champion for our key customers

  • Own customer issues end-to-end, from troubleshooting, triaging, escalations and eventual resolution

  • Participate in our follow-the-sun customer support model to ensure continuity in resolving high priority tickets

  • Keep track of open customer bugs and feature requests to influence prioritization and provide timely customer updates upon resolution

  • Contribute towards improvement of internal tools and documentation of playbooks, guides and best practices etc. based on observed patterns

  • Habitually provide feedback and collaborate cross-functionally with product and engineering teams to address customer issues with a focus on improving the product experience

  • Build and maintain strong relationships with technical stakeholders within customer accounts

Qualifications

  • 3+ years of experience in a customer-facing technical role in a dynamic, fast-paced, startup-like environment

  • Strong organizational skills and ability to manage multiple customer needs simultaneously

  • Experience as a machine learning engineer

  • Experience in training, fine-tuning and inference/serving of LLMs

  • Knowledge in one or more of the major cloud platforms (AWS, GCP or Azure)

  • Excellent communication and interpersonal skills.

  • Strong sense of ownership, self-motivation and eagerness to acquire new skills and do new things

  • Willingness to uplevel the knowledge and skills of your peers through mentorship, trainings and shadowing

Bonus

  • Experience with Ray

  • Knowledge of MLOps platforms

  • Familiarity with container orchestration platforms (e.g., Kubernetes), infrastructure as code (e.g. Terraform), CI/CD tools (e.g. Github Actions)

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.

Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

Anyscale Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Anyscale and has not been reviewed or approved by Anyscale.

  • Fair & Transparent Compensation Pay is considered market-based with target ranges shown in postings and a stated market-based philosophy. Feedback suggests this clarity and consistency aid confidence in pay fairness.
  • Equity Value & Accessibility Equity is commonly included in offers and is positioned as a meaningful part of total compensation for many roles. Feedback suggests this equity participation enhances perceived overall pay competitiveness.
  • Healthcare Strength Health, dental, and vision coverage are described as robust with many plan options, alongside mental-health support and fertility benefits. Feedback suggests this strong core healthcare offering increases perceived benefits quality.

Anyscale Insights

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The Company
HQ: San Francisco, CA
115 Employees
Year Founded: 2019

What We Do

Distributed computing made simple Anyscale enables developers of all skill levels to easily build applications that run at any scale, from a laptop to a data center.

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