Research Engineer
DepthFirst1 year ago
Responsibilities
- Build state-of-the-art agentic AI pipelines for discovering software vulnerabilities and generating exploits.
- Design, maintain, and evolve evaluation benchmarks for AI agents based on user problems.
- Design and develop training procedures and reinforcement learning environments for security coding agents.
- Help build a product that discovers and remediates vulnerabilities in customer and open source codebases.
Requirements
- 3+ years of full-time experience in AI research engineering in machine learning, deep learning, and/or natural language processing.
- Experience developing machine learning models at scale from inception to business impact.
- Programming experience in Python and hands-on experience with frameworks such as PyTorch.
- Bachelor's degree in computer science or software engineering, or equivalent industry experience.
- Strong problem-solving ability and an interest in technology and new tools.
Benefits
- Competitive salary with meaningful equity
- Health, vision, and dental insurance
- Office lunch and dinner when working from the San Francisco office
Categories
About DepthFirst
DepthFirst builds an AI-driven security platform that analyzes source code, infrastructure, and business logic to detect and help remediate software vulnerabilities, including potential zero-days. It sells enterprise security software and services to engineering and security teams at organizations with large codebases and open-source dependencies. Privately held and headquartered in San Francisco, the company focuses on general security intelligence delivered by AI agents that continuously scan customer and popular open-source projects.