Hybrid Senior Software Engineer, Applied AI

at HackerOne

• Job title: Senior Software Engineer, Applied AI
• Job type: Full Time
• Experience level: Senior
• Salary: $190,000 - $230,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: PyTorch, Tensorflow
• Location requirements: Hybrid, Seattle, United States

About the role

• Senior Software Engineer developing AI security capabilities for HackerOne’s platform. Collaborating with teams to enhance security automation and vulnerability detection using AI.

Responsibilities

• Contribute to evolving our AI security agent Hai, implementing features that enable natural language security insights, improved reasoning, and secure action workflows.
• Build components and services that integrate Agentic AI design patterns like AI Orchestration, Memory systems, RAG, Long horizon tasks, LLM-based models into the HackerOne platform, applying an AI-First approach to enhance vulnerability detection and security automation.
• Implement features for AI red teaming agents and evaluation tools that help identify risks in LLMs and applied AI systems, supporting safer model development.
• Collaborate cross-functionally with Product, Security Research, and Customer Success to translate customer needs into clear engineering requirements and deliverables.
• Develop and integrate APIs that enable secure interactions between AI models, internal services, and third-party systems, adjusting quickly as requirements evolve with Change Agility.
• Use metrics, evaluation data, and telemetry to validate model behavior and improve system performance in alignment with Data-Driven Decision Making.
• Break down complex AI and security problems into smaller, fundamental components, applying First Principles Problem Solving to deliver simple, scalable solutions.
• Stay current with emerging AI security trends, contributing findings and learnings to team discussions and implementation planning.

Requirements

• 5+ years of experience as a software engineer
• Must be able and willing to come to the office once per week (typically Thursdays)
• Experience implementing features within production-grade AI or ML systems, including integrating LLMs or generative AI models into applications
• Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or HuggingFace Transformers
• Familiarity with model deployment workflows, evaluation techniques, or MLOps concepts
• Understanding of responsible AI development and basic AI safety considerations

Benefits

• Health (medical, vision, dental), life, and disability insurance*
• Equity stock options
• Retirement plans
• Paid public holidays and unlimited PTO
• Paid maternity and parental leave
• Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)
• Employee Assistance Program