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Customer Engineer, Infrastructure

Anyscale, San Francisco

Posted pay

$170K–$199K

a year

Location: San Francisco
Work type: Hybrid
Level: Not given
Experience: 7+ years
Skills in the job text: AWS
Kubernetes
GCP
Azure
Terraform
Ray
Posted: Jun 24, 2026
Last check: 50 min ago
Job type: Solutions engineering

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Anyscale

About Anyscale: funding, hiring and pay

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The role

The Customer 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.

What you will do

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

What you need

7+ years of experience in a Machine Learning role in a dynamic, fast-paced, startup-like environment
Strong organizational skills and ability to manage multiple customer needs simultaneously
Proficient at developing data pipelines for training, fine-tuning and inference/serving of LLMs
Experience running and optimizing infrastructure for distributed ML workloads on the major cloud platforms (AWS/EKS, GCP/GKE or Azure/AKS)
Excellent communication and interpersonal skills.
Strong sense of ownership, self-motivation and eagerness to acquire new skills and do new things
Willingness to up-level the knowledge and skills of your peers through mentorship, trainings and shadowing

Nice to have

Experience with Ray
Knowledge of MLOps platforms
Knowledge of container orchestration platforms (e.g., Kubernetes), infrastructure as code (e.g. Terraform), CI/CD tools (e.g. Github Actions)

Why Anyscale

We're on a mission to make scalable computing effortless. Ray is the AI Compute Engine at the center of some of the world's most powerful AI platforms
Our tech is in production at companies like OpenAI, Uber, Spotify, Instacart, and Cruise
We're backed by Andreessen Horowitz, NEA, and Addition, with $250M+ raised to date
Recent partnerships with Azure, CoreWeave, and Google Cloud are putting AI-native compute directly into enterprise environments
Competitive salary and equity, plus health/dental/vision coverage (many plans up to 99% employer-covered)
We offer flexible time off, paid parental leave, and mental health support

About Anyscale

At Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI https://thenewstack.io/how-ray-a-distributed-ai-framework-helps-power-chatgpt/, Uber https://www.uber.com/blog/horovod-ray/, Spotify https://engineering.atspotify.com/2023/02/unleashing-ml-innovation-at-spotify-with-ray/, Instacart https://www.youtube.com/watch?v=3t26ucTy0Rs&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=23&pp=iAQB, Cruise https://www.youtube.com/watch?v=gj0BqvfX_wI&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=46&pp=iAQB, 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 https://www.wsj.com/articles/ai-startup-anyscale-adds-99-million-to-andressen-horowitz-led-funding-round-11661254200 with $250+ million raised to date.

Legal notes

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 https://drive.google.com/file/d/1Kt2S6_k_SjxaEdGowH4rngVdg2ApAQV3/view?usp=sharing and the Right to Work posters in English and Spanish https://drive.google.com/file/d/1K3Nz72xgsU2hngnVUEu53wEeZjbAMbnZ/view?usp=sharing

Read the job posting on the Anyscale site

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Source: the Anyscale Ashby job board. We last checked this job 50 min ago. We first saw it 4 days ago. A job on a job board does not always mean that the team interviews people now.

Company facts

Money raised: $239MSum of funding rounds on record
Newest round: Series C extensionAug 23, 2022

Funding records can have errors and can be missing. The company page has the links.

Anyscale

Open tech jobs: 20
With posted pay: 85%
Median posted base: $215K–$245K

About Anyscale: funding, hiring and pay

Compared with similar jobs

This base pay is below the median for solutions engineering jobs in the Bay Area with no level in the job title.

Median: $196K a year
Other jobs in the group: 307

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.