Machine Learning Engineer, Customer Engineering

Anyscale; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Anyscale is seeking a Customer Engineer to guide customers through onboarding, adoption, and growth on the Anyscale platform. You will troubleshoot complex issues, coordinate with engineering, and help customers maximize their use of Ray-based ML workloads.

The role emphasizes strong communication, ownership, and collaboration across product and engineering teams in a fast-paced environment.

Qualifications

• 7+ years of experience in a Machine Learning role in a startup-like environment.
• Excellent communication and interpersonal skills.
• Strong ownership mindset and willingness to mentor peers.
• Experience developing data pipelines for training, fine-tuning, and inference/serving of LLMs.
• Ability to manage multiple customer needs simultaneously.
• Experience running distributed ML workloads on major cloud platforms.
• Willingness to collaborate with product and engineering teams to improve the product experience.

Responsibilities

• Resolve customer issues and ensure successful adoption of Anyscale platform.
• Act as a technical advisor and internal champion for key customers.
• Own customer issues end-to-end from troubleshooting to resolution.
• Participate in follow-the-sun support to resolve high-priority tickets.
• Track customer bugs and feature requests to influence prioritization and updates.
• Contribute to internal tools and documentation with best practices.

Skills

ML experience

Strong communication

Ownership

Data pipelines

Multi-tasking

Mentorship

Customer focus

Tools

AWS/EKS

GCP/GKE

Azure/AKS

Kubernetes

Terraform

Github Actions

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.