Remote RL Engineer for Cybersecurity AI Training

Bugcrowd; United States; On-site; USD 176,400 - 242,550; Full time

Job summary

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.

Qualifications

• Experience with RL training workflows used by modern AI models.
• Proficiency in Python and C; Rust is a plus.
• Understanding of software vulnerabilities, fuzzing, or program analysis.
• Experience with build systems and large open‑source codebases.

Responsibilities

• Design pipelines that ingest software projects, analyze them with Bugcrowd’s Mayhem platform, and automatically construct training environments for frontier AI labs.
• Build high‑performance systems that generate RL environments rather than just environments themselves.
• Create reproducible Linux ML environments (containers, MCP, etc.).

Skills

Reinforcement learning

Python

C

Rust

DevOps

Linux systems

Low-level debugging

Build systems

GitHub Actions

Tools

Docker

BuildKit

Nix

MCP

GitHub Actions

Job description

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.