Security Engineer / Research Engineer, RL Security

San Francisco, CA | New York City, NY | Seattle, WA

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Pay
Not stated by the employer
Work mode
Not stated
Location
San Francisco, CA | New York City, NY | Seattle, WA
Posted
Oct 20, 2026Greenhouse first-published date
Last checked
Oct 20, 2026

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Where this job mentions Go

Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go

Go appears in the posting, not necessarily as a requirement. Some employers list it as one option among several languages.

Also mentioned

RustPythonKubernetes

Employer posting

Read the full description on job-boards.greenhouse.io

Source details
Source publication
Source first published: Oct 20, 2026 · 4:17 PM PDT
Date provenance
Greenhouse first_published · source field, not independently verified
ATS updated (not posted)
Oct 20, 2026 · 4:17 PM PDT
First imported
Oct 20, 2026 · 10:04 PM PDT
Last checked at source
Oct 20, 2026 · 10:04 PM PDT
Last seen at source
Oct 20, 2026 · 10:04 PM PDT
Snapshot built
Oct 20, 2026 · 10:08 PM PDT
Source status at collection
open
Board
greenhouse:anthropic
Source ID
greenhouse:anthropic:5458420008
Evidence field
description
Match rule
alternative_in_list · 3 Go match(es)
Department as supplied
AI Research & Engineering

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Location & work details

Office location and remote eligibility are separate. A country flag describes the stated location, not who may apply.

Original location
San Francisco, CA | New York City, NY | Seattle, WA
Stack
Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go (Source language/tool mention)
Stack
Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go (Source language/tool mention)
Stack
Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go (Source language/tool mention)
Stack
Experience with container orchestration such as Kubernetes, and with sandboxed or virtualized code execution at scale (Source language/tool mention)
Normalization
Explicit source location text; no city-only country inference.

No application or candidate data is collected here. The employer controls current availability and eligibility.