Hiring: Machine Learning Engineer, Customer Engineering Company: Anyscale Location: San Francisco, CA Job Posted Time: 2026-09-03 10:22:27 Target Skills & Keywords : AWS, Azure, CI/CD, Compute Engine, Data Pipeline, EKS, Fine-tuning, GCP, GitHub Actions, Infrastructure as Code, Kubernetes, LLM, MLOps, Machine Learning, Segment, Terraform, vLLM About the job Experience: •7+ years of experience in a Machine Learning role in a dynamic, fast-paced, startup-like environment Required Skills: •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. •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 Qualifications: •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 •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 •Knowledge of container orchestration platforms (e.g., Kubernetes), infrastructure as code (e.g. Terraform), CI/CD tools (e.g. Github Actions) •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 Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!