What you'll do
- Develop and enhance AI-powered security features including AI orchestration, memory systems, and LLM-based models within the HackerOne platform.
- Contribute to cloud-based execution and deployment of the AI security agent Hai, improving natural language insights and secure workflows.
- Implement AI red teaming agents and evaluation tools to identify risks in large language models and applied AI systems.
- Collaborate cross-functionally with Product, Security Research, and Customer Success teams to translate customer needs into engineering deliverables.
- Use data-driven decision making and first principles problem solving to improve system performance and deliver scalable AI security solutions.
What you should know
- This role offers the chance to work on cutting-edge AI security technologies and influence the future of offensive security.
- Candidates should be comfortable with a hybrid work model requiring one day onsite per week in select US cities.
- Applicants will face the challenge of integrating complex AI models into a production-grade security platform with evolving requirements.
- The position requires strong collaboration skills across multiple teams including product and security research.
- Opportunities exist to grow expertise in agentic AI frameworks, MLOps, and AI safety within a supportive and innovative environment.
About the company
- HackerOne is a global leader in Continuous Threat Exposure Management (CTEM) with a strong focus on AI-driven offensive security.
- The company values customer obsession, transparency, and inclusive culture, emphasizing empowerment and accountability.
- Trusted by major enterprises and government agencies, HackerOne operates at the intersection of cybersecurity and AI innovation.
- Recognized as a Most Loved Workplace for Young Professionals (2024) and featured in Gartner’s Emerging Tech Impact Radar for AI Security Testing.
- HackerOne fosters a flexible work environment with a hybrid onsite model to balance collaboration and remote work benefits.
Key required skills
PythonPyTorchTensorFlowHuggingFace TransformersCloud AI servicesDistributed systemsMLOpsLLM integration