HackerOne

Staff Software Engineer – Applied AI

HackerOne

full-time

Posted on:

Location Type: Hybrid

Location: Seattle • Texas, Washington • 🇺🇸 United States

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Salary

💰 $230,000 - $300,000 per year

Job Level

Lead

Tech Stack

PyTorchTensorflow

About the role

  • Architect and enhance our autonomous security agent “Hai,” building intelligent systems capable of natural-language reasoning, vulnerability detection, and actionable recommendations, all grounded in an AI-First mindset.
  • Build components and services that integrate agentic AI design patterns—such as orchestration, memory systems, RAG, long-horizon tasks, and LLM-based models—into the HackerOne platform, applying an AI-First approach to improve vulnerability detection and security automation.
  • Partner across Product, Security Research, and Engineering to introduce AI capabilities into the broader HackerOne ecosystem. As the company evolves rapidly, bring clarity and stability to shifting requirements by demonstrating strong Change Agility.
  • Design and implement AI red-teaming agents and frameworks that proactively surface weaknesses in LLMs, generative-AI systems, and applied AI deployments, using First Principles Problem Solving to break problems down and build durable, foundational solutions.
  • Establish meaningful metrics, observability, evaluation frameworks, and continuous feedback loops to improve model performance, safety, and user impact—ensuring decisions are grounded in Data-Driven Decision Making.
  • Stay current with emerging AI safety research, adversarial-testing techniques, and agentic-system patterns, and integrate those learnings into HackerOne’s responsible-AI strategy with adaptability and a growth-oriented Change Agility mindset.
  • Build APIs and integrations that enable seamless interaction between AI models, security tools, and the broader HackerOne platform, ensuring security, scalability, and interoperability across systems.

Requirements

  • 8+ years of experience as a software engineer, including deep experience building and maintaining production-grade AI platforms and infrastructure.
  • Proven expertise in large language models (LLMs), generative AI, and machine learning frameworks such as TensorFlow, PyTorch, and Transformers in production environments.
  • Strong hands-on experience in AI platform engineering, including model deployment, MLOps pipelines, model serving infrastructure, and shared AI services architecture.
  • Experience building systems that support multiple AI product teams and applications, enabling scalable experimentation and deployment.
  • Solid understanding of AI safety and alignment principles, including responsible AI development, bias mitigation, and ethical AI practices.
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
  • Flexible Work Stipend

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI platform engineeringlarge language modelsgenerative AImachine learningmodel deploymentMLOpsmodel serving infrastructureAI red-teamingdata-driven decision makingFirst Principles Problem Solving
Soft skills
Change Agilityadaptabilitygrowth-oriented mindsetstrong communicationcollaboration