Machine Learning Engineer, Anyscale
Customer Engineering
$140.2-199.9k
3+ days a week in office
Scalable compute for AI and Python
Open for applications
Scalable compute for AI and Python
501-1000 employees
Open for applications
$140.2-199.9k
3+ days a week in office
501-1000 employees
Company mission
To make scalable computing effortless.
Role
Who you are
- 7+ years of experience in a Machine Learning or Cloud Infrastructure 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
Desirable
- 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)
What the job involves
- 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
- 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
Our take
Anyscale operates at the heart of the rapidly expanding AI infrastructure market, where organizations increasingly need systems built to handle large-scale, multimodal, and compiled AI workloads. Founded by the original creators of Ray - an open-source distributed computing framework powering companies like Netflix, Uber, and OpenAI - Anyscale was built to overcome the "AI complexity wall" that legacy compute can't handle. And its providing an AI-native platform that can scale seamlessly from as ingle machine to thousands of GPUs.
The company's impact comes from making distributed AI development faster, easier, and far more efficient. By pairing Ray's flexible compute framework with managed clusters, advanced developer tooling, and performance optimization, Anyscale removes the operational burden of scaling AI. Companies like Canva, Recursion, and RunwayML have seen dramatic gains in utilization, speed and cost. So it's fair to say Anyscale has helped teams deliver AI applications faster and with greater reliability.
The company recently strengthened its position through major partnerships with Azure, CoreWeave, and Google Cloud, bringing AI-native compute directly into enterprise environments. New capabilities like RayTurbo, Kubernetes-native deployment, and first-party managed Ray services make it easier than ever to run high-performance AI at scale. With model sizes and multimodal workloads growing rapidly, Anyscale is in a good position to remain a foundational platform for organizations building the next generation of AI systems.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
133% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Aug 2022
$99m
SERIES C
Dec 2021
$100m
SERIES C
Total funding: $259.6m
Company benefits
- Health, Vision, and Dental Care: We offer a wide range of health, dental, and vision coverage options for you and your family—including many plans that are 99% covered by Anyscale
- Fertility Benefits & Paid Parental Leave: Anyscalers can access fertility benefits through Kindbody. Team members can take advantage of 12 weeks of paid leave following the arrival of a new little one.
- Flexible Time Off: We believe all team members should be able to rest up and recharge when needed, which is why we’ve embraced a flexible time off policy at Anyscale.
- Learning & Wellness Stipend: We believe in investing in our #1 asset: our people. We offer a monthly learning and wellness stipend so employees can better themselves at work or pursue personal interests.
- In-Office Meals: Lunch is served everyday in our San Francisco and Palo Alto Offices. Dinner, too, if you’re ever working late. And did we mention boba runs?
- Commute Reimbursement: Whether you’re hopping on public transit or driving yourself to work, Anyscale covers a portion of your commuting costs each month.
- Paid Volunteer Time Off: Give back to the causes and communities you love with paid time off specifically for volunteer work.
- Mental Health Benefits: All Anyscalers can take advantage of included mental health benefits through our Headspace offering.
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Phillip Moritz
(Co-Founder & CTO)Phillip graduated from the University of California, Berkeley with a PhD in Computer Science.
Keerti Melkote
(CEO)Prior to joining Anyscale in 2024, Keerti spent 5 years at Hewlett Packard Enterprise at the President of Intelligent Edge. They also co-founded Aruba Networks where they spent nearly 20 years in roles including CTO and CEO.
Jooree Na
(CFO)Prior to joining Anyscale in 2024, Jooree spent over 5 years at Confluent, joining as a Director of Technical Accounting & Reporting before working through different roles and becoming the VP of Finance.
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