About this opportunity
Anyscale lists this Machine Learning Engineer, Customer Engineering opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
About Anyscale
At Anyscale, we’re on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that’s creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, 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 with $250+ million raised to date.
About 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 coordination 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.
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 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
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 peers through mentorship, trainings, and shadowing
Bonus
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)
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 and the Right to Work posters in English and Spanish.
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.