Anyscale
Customer Engineer, Infrastructure
San Francisco, Remote. Posted 4 months ago
The role
The Customer Engineer helps customers onboard, adopt, and grow on the Anyscale platform. This person will resolve customer issues, act as a technical advisor, and coordinate with engineering teams to debug complex issues.
What you will do
- Resolve customer issues and help in their successful adoption of Anyscale platform
- Be a technical advisor and internal champion for key customers
- Own customer issues end-to-end from troubleshooting to resolution
- Participate in a follow-the-sun customer support model
- Keep track of open customer bugs and feature requests
- Contribute towards improvement of internal tools and documentation
- Provide feedback and collaborate cross-functionally with product and engineering teams
- Build and maintain strong relationships with technical stakeholders within customer accounts
Required qualifications
- 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)
Benefits
- Competitive salary and equity
- health/dental/vision coverage (many plans up to 99% employer-covered)
- flexible time off
- paid parental leave
- mental health support
About the company
Anyscale is commercializing Ray, a popular open-source project for scalable machine learning. The company is backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.