ML Platform Engineer - Customer Success & Adoption

Anyscale

San Francisco (CA)

On-site

USD 180,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Competitive salary and equity
Health/dental/vision coverage
Flexible time off
Paid parental leave
Mental health support

Job summary

Anyscale is seeking a Customer Engineer in San Francisco to guide post-sale onboarding, adoption, and growth for customers using Ray. You will troubleshoot and resolve tickets, collaborate with engineering on complex issues, and act as a trusted technical advisor across accounts.

The role emphasizes ML/AI, LLM, vLLM, and working in a fast-paced, collaborative environment to drive consumption and customer success.

Qualifications

  • 7+ years of ML experience in a dynamic startup-like environment.
  • Strong ability to develop data pipelines for training, fine-tuning and inference/serving of LLMs.
  • Experience managing ML infra across AWS/GCP/Azure.
  • Excellent communication and interpersonal skills.
  • Willingness to mentor peers and up-level teammates.

Responsibilities

  • Resolve customer issues and drive successful adoption of Anyscale.
  • Serve as a technical advisor and internal champion for key customers.
  • Own customer issues end-to-end from triage to resolution.
  • Support follow-the-sun model for high-priority tickets.
  • Contribute to internal tools, playbooks, and best practices.
  • Collaborate with product and engineering to improve the product experience.
  • Build strong relationships with technical stakeholders within customer accounts.

Skills

Machine Learning
Data pipelines
Cloud platforms
Communication
Mentorship
Troubleshooting

Tools

Kubernetes
Terraform
Github Actions
Ray

Job description

Anyscale is seeking a Customer Engineer in San Francisco to guide post-sale onboarding, adoption, and growth for customers using Ray. You will troubleshoot and resolve tickets, collaborate with engineering on complex issues, and act as a trusted technical advisor across accounts.

The role emphasizes ML/AI, LLM, vLLM, and working in a fast-paced, collaborative environment to drive consumption and customer success.

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