Anyscale

Forward Deployed Engineer - AI/ML Platforms

We captured this posting once, on 2026-07-06, and did not track it afterwards — so we cannot tell you whether it is still open.

Employer
Anyscale
Location
San Francisco, CA
Seniority
Mid level
Experience asked for
5+ years
Pay band
Not disclosed

When we saw it

  • Posted 2026-07-02 — the date the employer published it
  • Archived 2026-07-06 — when we saved this copy

Found via LinkedIn — US keyword pulls.

Skills the posting named

AI platform architecture designcustomer teams partnershipimplementation engagementsdistributed systems troubleshootingautomation developmenttrusted relationshipsproduct engineering collaborationbest practices sharingkubernetesawsazuregcp

From the posting

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. …

An excerpt. The full posting is Anyscale's. Read it at the original source, if it is still up.

What this tells you about the FDE role

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