Machine Learning Engineer, Customer Engineering
Anyscale · Hybrid
MeritLog read this listing from Anyscale's Ashby job board and last checked it on September 8, 2026.
Source: the employer's Ashby job board. Open the original listing for current details.
Job details
- Work model
- Hybrid
- Salary
- $170K - $199K
- Location
- San Francisco
- Occupation
- Computer Systems Engineers/Architects(O*NET 15-1299.08)
- Company website
- www.anyscale.com
Hiring context
How this role compares at Anyscale
Anyscale has 19 live roles in MeritLog’s catalog across 4 job families, and 6 of them are in data & analytics. 16 of those listings publish a pay range, a disclosure rate of 84%.
This role's posted range of $170K - $199K sits above 7% of the 15 other Anyscale roles quoted over the same currency and period.
Anyscale concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What you'd do
- 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
- Build and maintain strong relationships with technical stakeholders within customer accounts
What they're asking for
- 7+ years of experience in a Machine Learning role in a dynamic, fast-paced, startup-like environmentExperience
- Strong organizational skills and ability to manage multiple customer needs simultaneouslySkill
- Proficient at developing data pipelines for training, fine-tuning and inference/serving of LLMsSkill
- Experience running and optimizing infrastructure for distributed ML workloads on the major cloud platforms (AWS/EKS, GCP/GKE or Azure/AKS)Skill
- Excellent communication and interpersonal skills.Skill
- Strong sense of ownership, self-motivation and eagerness to acquire new skills and do new thingsSkill
- Willingness to up-level the knowledge and skills of your peers through mentorship, trainings and shadowingSkill
- Experience with RaySkillPreferred
- Knowledge of MLOps platformsSkillPreferred
- Knowledge of container orchestration platforms (e.g., Kubernetes), infrastructure as code (e.g. Terraform), CI/CD tools (e.g. Github Actions)SkillPreferred
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
About Anyscale At Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI https://thenewstack.io/how-ray-a-distributed-ai-framework-helps-power-chatgpt/, Uber https://www.uber.com/blog/horovod-ray/, Spotify https://engineering.atspotify.com/2023/02/unleashing-ml-innovation-at-spotify-with-ray/, Instacart https://www.youtube.com/watch?v=3t26ucTy0Rs&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=23&pp=iAQB, Cruise https://www.youtube.com/watch?v=gj0BqvfX_wI&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=46&pp=iAQB, 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 https://www.wsj.com/articles/ai-startup-anyscale-adds-99-million-to-andressen-horowitz-led-funding-round-11661254200 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 co-ordination 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 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 - 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 your 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 theNotice of E-Verify Participation https://drive.google.com/file/d/1Kt2S6_k_SjxaEdGowH4rngVdg2ApAQV3/view?usp=sharing and theRight to Work posters in English and Spanish https://drive.google.com/file/d/1K3Nz72xgsU2hngnVUEu53wEeZjbAMbnZ/view?usp=sharing
Keep exploring