Forward Deployed Engineer, Anyscale
AI/ML Platforms
$267-287k
3+ days a week in office
Scalable compute for AI and Python
Job no longer available
Scalable compute for AI and Python
501-1000 employees
Job no longer available
$267-287k
3+ days a week in office
501-1000 employees
Company mission
To make scalable computing effortless.
Role
Who you are
- 5+ years of experience in cloud infrastructure, platform engineering, DevOps, Site Reliability Engineering, or software engineering
- Experience building, deploying, or operating ML/AI platforms that support model training, inference, or large-scale data processing workloads
- Strong expertise with Kubernetes and containerized production environments
- Experience operating cloud infrastructure on AWS, Azure, or GCP, including networking, security, IAM, storage, and infrastructure automation
- Experience with Infrastructure as Code and modern DevOps tooling such as Terraform, Helm, GitOps, CI/CD pipelines, or similar technologies
- Strong software engineering skills in Python, Go, Java, or a comparable language, with experience building automation or production services
- Experience working directly with enterprise customers in consulting, professional services, field engineering, solutions architecture, or another customer-facing engineering role
- Excellent communication skills and the ability to work effectively with both executive and deeply technical stakeholders
- Familiarity with distributed computing frameworks such as Ray, Spark, Dask, or Kubernetes-native distributed systems is a strong plus
- A passion for solving difficult customer problems and building reusable technical solutions
- Willingness to travel as needed to work alongside strategic customers
What the job involves
- As a Forward Deployed Engineer - AI/ML Platforms at Anyscale, you’ll partner with some of the world’s most sophisticated AI organizations to design, deploy, and operate the infrastructure powering their production AI workloads
- In this role you will work directly with customer platform, infrastructure, and ML engineering teams to solve complex technical challenges. You will help customers build scalable AI platforms, modernize ML infrastructure, and operationalize distributed AI applications on Ray and the Anyscale platform
- You will combine deep cloud infrastructure expertise with strong customer engagement skills, serving as both a trusted technical advisor and a hands-on engineer. You will work closely with customer teams throughout implementation, from architecture and deployment through production operations. Your work will provide feedback that directly influences the evolution of the Anyscale platform
- Design and implement production-grade AI platform architectures on Kubernetes and public cloud infrastructure (AWS, Azure, and GCP)
- Partner directly with customer platform, infrastructure, and ML engineering teams to deploy, operate, and optimize distributed AI workloads
- Lead implementation engagements that include platform installation, networking, security, observability, scaling, upgrades, and operational readiness
- Troubleshoot complex distributed systems issues spanning infrastructure, Kubernetes, networking, storage, and AI applications
- Develop automation, tooling, reference implementations, and infrastructure-as-code that accelerate customer success and improve repeatability
- Build trusted relationships with technical leaders, platform teams, and executive stakeholders, translating business objectives into robust technical solutions
- Collaborate closely with Product and Engineering to communicate customer requirements, identify product improvements, and shape future platform capabilities
- Share best practices through technical documentation, architecture guidance, workshops, and enablement
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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