# Reinforcement Learning Engineer (Cybersecurity) at Bugcrowd

- Company: Bugcrowd
- What the company does: Bugcrowd teams with elite security researchers to reduce risk & improve security ROI through our bug bounty, pen testing, & vulnerability disclosure programs. Backed by General Catalyst.
- Company website: https://www.bugcrowd.com/
- Type: Startups
- Level: Mid level
- Location: Remote - US
- Work setup: Remote
- Pay: $176K to $243K base salary per year (USD)
- Posted: 2026-07-15
- Apply by: 2026-10-08
- Apply: https://boards.greenhouse.io/bugcrowd/jobs/7843516?gh_jid=7843516
- Page: https://www.1752.vc/careers/jobs/bugcrowd-reinforcement-learning-engineer-cybersecurity/

## About the role

The Bugcrowd RL and Reasoning Team focuses on pushing the boundaries of autonomous cybersecurity by building authentic reinforcement learning environments for foundational model companies. As a Reinforcement Learning Engineer you will advance the frontier of AI Reinforcement Learning development and delivery. You will build the infrastructure and tooling that transforms real-world vulnerability research into large-scale reinforcement learning environments used to train next-generation AI systems.

## What they're looking for

- Reinforcement learning workflows
- Building clean, reproducible Linux ML environments (containers, MCP, etc)
- System security background in binary exploitation, such as buffer overflows, fuzzing, exploitation, and x86/64
- Experience developing applications in Python and C, with Rust a plus

Tags: R&D : Engineering