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# Data Scientist / ML Engineer (Antarctica Capital)

- **Company:** reddit Inc.
- **Location:** Circle, AK, United States (Remote available)
- **Experience:** Expert
- **Salary:** $217,000.0 - $304,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Code Review, Continuous Integration, Python (Programming Language), Software Engineering, Cloud Platform System, Large Language Models, Software Security
- **Published:** August 9, 2026
- **Apply:** https://www.workingnomads.com/job/go/1779586/

## About the Role

* 8+ years of experience in software engineering, product security, or application security, with at least 2 years operating at a staff level of scope and impact.
 * Proficiency in one or more languages (Go, Python, JS/TS).
 * Experience designing, building, and operating production-quality systems and developer-facing platforms.
 * Experience building secure frameworks, libraries, or guardrails that improve security across many teams at once.
 * Demonstrated ability to integrate security into developer workflows: CI/CD, code review, release processes, and internal platforms.
 * Clear communicator who can explain technical detail and business impact to both engineers and leadership.
 * Comfortable in fast-moving environments where AI-assisted development is reshaping how software is built and reviewed.
 * Experience with vulnerability discovery and remediation pipelines, including bug bounty or researcher-reported findings.
 * Track record of mentoring engineers and raising the technical bar across a security or platform engineering org., * Experience securing AI/LLM systems, agentic workflows, or AI-assisted development tooling.
 * Familiarity with authentication/authorization systems, cloud-native platforms, and how to secure them.

#LI-Remote

## Description

* Build and evolve secure frameworks, guardrails, and library-level controls that make common vulnerability classes harder to introduce.
 * Design security controls for AI-assisted development - including reusable rule packs and skills that shape how engineers and coding agents generate, review, and ship code.
 * Embed security into the workflows engineers already use.
 * Drive product security reviews for new launches and major architectural changes.
 * Identify and eliminate systemic security debt.
 * Shape strategy, influence architecture, and drive execution across teams.


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