---
title: 'Forward Deployed Engineer - AI/ML Platforms at Anyscale'
canonical: 'https://feeny.ai/job/forward-deployed-engineer-ai-ml-platforms-anyscale-san-francisco-tnagmm5tq3fm'
type: 'job'
last_seen: '2026-11-11'
---

# Forward Deployed Engineer - AI/ML Platforms at Anyscale

- **Company:** Anyscale
- **Location:** San Francisco, CA
- **Compensation:** $250k–$275k
- **Employment:** full-time
- **Posted:** 2026-11-04
- **Last confirmed live:** 2026-11-11
- **Apply:** https://jobs.ashbyhq.com/anyscale/503a08c2-80b1-4968-8dcf-06380453bcdb

## Job description

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: 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. In this role, you will:

- 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.

We'd love to hear from you if you have:

- 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.

## About Anyscale

## Company Overview
- **One-liner**: Anyscale provides a production-grade platform for building, running, and scaling data-intensive AI workloads, powered by the open-source Ray framework.
- **Entity Type**: Private (backed by prominent venture investors)
- **Headquarters**: San Francisco, CA, USA (600 Harrison Street, 4th Floor) and Bangalore, India
- **Founded**: 2019
- **Founders**: Co-founders include the creators of Ray from UC Berkeley RISELab (names not explicitly listed in provided sources)

## Core Business
- **Primary industry**: AI Infrastructure / Distributed Computing
- **Target customers**: AI teams building foundation models, data curation pipelines, batch inference, and serving workloads; B2B enterprise and startups
- **Mission**: Make scalable computing effortless  
  **Vision**: Build the future of distributed computing for AI and ML workflows

## Products & Services
- **[Anyscale Platform](https://www.anyscale.com/platform)**: A managed, production-grade platform that runs Ray clusters across any cloud. Includes developer tooling (Workspaces, managed dashboards), cluster orchestration (Jobs & Services, autoscaling, multi-cloud), governance (SSO, SAML, SCIM, budgets), observability (workload-specific dashboards, lineage tracking), and the fully managed Anyscale Runtime.
- **Ray Open-Source Framework**: Although open source and community-driven, Anyscale is built by the creators of Ray and offers the runtime as the core compute engine for its platform.

## Market Standing
- **Valuation/Market Cap**: Not disclosed in provided sources
- **Key Metric**: Total funding not specified in sources; investors include Sequoia Capital, Andreessen Horowitz, NEA, and others (based on investor logos on [about page](https://www.anyscale.com/about)). Ray has exceeded **500 million downloads** and **41K+ GitHub stars**.
- **Notable Investors/Partners**: Sequoia Capital, Andreessen Horowitz, NEA (from company website); partners include AWS, GCP, Azure, CoreWeave, Nebius.
- **Growth Signals**: Employee recommendation rating of **94%**; **4.7 Glassdoor** rating; three offices globally; used by foundation model builders for tasks like embedding generation (80% cheaper), batch inference (3x faster), and training (5x faster).

## Competitive Advantages
- **Ray ecosystem**: Anyscale is built and maintained by the original creators of Ray, the most widely adopted open-source AI compute engine, giving them deep technical expertise and influence on the project’s direction.
- **Multi-cloud orchestration**: Run workloads seamlessly across AWS, GCP, Azure, and specialized GPU clouds without cloud-specific rewrites.
- **Fine-grained hardware allocation and GPU pooling**: Dynamic capacity reallocation maximizes GPU utilization and reduces costs.
- **Developer experience**: Simple Python APIs (e.g., `@ray.remote`) and cluster-backed VS Code/Jupyter workspaces enable scaling from a laptop to a data center without code changes.

## Strategic Focus
- **Current priorities**: Foundation model training and post-training (RLHF, fine-tuning), multimodal data curation, batch embedding generation, and real-time serving. Emphasis on reducing GPU costs and improving developer velocity through unified governance and observability.
- **Direction for growth**: Expanding multi-cloud orchestration, deepening integrations with third-party libraries (vLLM, SGLang, PyTorch, XGBoost), and enabling teams to “unify and govern every team’s AI workloads across clouds.”

## Why Work Here
- **Culture**: Values include “Customer & Community Obsessed,” “LFG” (move fast, push boundaries), “Raise the Bar,” “Take the Longview.”
- **Remote/hybrid/office**: Offices in San Francisco, Palo Alto, and Bangalore. In-office meals (lunch and dinner) and commute reimbursement for Bay Area residents.
- **Benefits**:
  - Health, Vision, Dental (95% covered plans)
  - Fertility benefits (up to $12,500 via Kindbody) and 12 weeks paid parental leave
  - Flexible time off
  - $100/month learning and wellness stipend
  - Paid volunteer time off
  - Mental health support (Rula)
- **Engineering culture**: High autonomy, work on cutting-edge AI infrastructure, close connection to open-source community.

## Sources
1. [anyscale.com](https://www.anyscale.com/)
2. [anyscale.com/about](https://www.anyscale.com/about)
3. [anyscale.com/careers](https://www.anyscale.com/careers)
4. [anyscale.com/platform](https://www.anyscale.com/platform)
5. [jobs.ashbyhq.com/anyscale](https://jobs.ashbyhq.com/anyscale)

## Other roles at Anyscale

- [AWS & Neo Cloud Alliances Senior Manager](https://feeny.ai/job/aws-neo-cloud-alliances-senior-manager-anyscale-remote-ggsr2c82e4x5)
- [Senior Cloud Security Engineer](https://feeny.ai/job/senior-cloud-security-engineer-anyscale-san-francisco-caz8eh20e566) — San Francisco, CA
- [Engineering Manager, Ray Data](https://feeny.ai/job/engineering-manager-ray-data-anyscale-san-francisco-te0ctm3v9d6k) — San Francisco, CA
- [Senior Product Security Engineer](https://feeny.ai/job/senior-product-security-engineer-anyscale-bengaluru-nqj8k4p0prnc) — Bengaluru, India
- [Enterprise Account Executive](https://feeny.ai/job/enterprise-account-executive-anyscale-new-york-a5vs6nk68s5j) — New York, NY
- [Senior Detection and Response Engineer](https://feeny.ai/job/senior-detection-and-response-engineer-anyscale-bengaluru-6vecj8zn4jtq) — Bengaluru, India
- [Compliance Manager](https://feeny.ai/job/compliance-manager-anyscale-san-francisco-hw0ps9rpgzd1) — San Francisco, CA
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