Machine Learning Engineer Customer Engineering
AnyscaleVisit Anyscale website
Anyscale is an AI compute platform built by Ray’s creators for distributed data processing, model training, inference, and related production AI workloads.
San Francisco, United States
About Anyscale
Anyscale provides a managed, multi-cloud platform for building, running, and governing distributed AI workloads with Ray, including data processing, training, and model serving.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will support customers through onboarding, adoption, growth, troubleshooting, triage, escalation, and resolution. You will act as a technical advisor, track bugs and feature requests, contribute to playbooks and tools, and collaborate with Product and Engineering to improve the platform experience.
Requirements
- 7+ years of experience in a Machine Learning role
- Ability to manage multiple customer needs simultaneously
- Experience developing data pipelines for LLM training, fine-tuning, and inference or serving
- Experience running and optimizing distributed ML workloads on AWS/EKS, GCP/GKE, or Azure/AKS
- Communication and interpersonal skills
- Willingness to mentor, train, and shadow peers
Responsibilities
- Resolve customer issues and support platform adoption
- Act as a technical advisor and internal champion for key customers
- Own customer issues from troubleshooting and triage through escalation and resolution
- Participate in follow-the-sun customer support
- Track customer bugs and feature requests and provide resolution updates
- Improve internal tools, documentation, playbooks, guides, and best practices
- Collaborate with Product and Engineering to address customer issues
- Build relationships with technical stakeholders in customer accounts
Benefits
- Stock options
- Healthcare plans with 95% employer-covered premiums
- 401k Retirement Plan
- Wellness & Education Stipend
- Paid Parental Leave
- Fertility Benefits
- Paid Time Off
- Commute reimbursement
- In-office lunch
