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HackerOne·Austin, United States·onsite

Senior Software Engineer, Applied AI

$190,000 - $230,000 Posted 6 days ago
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Ruby on RailsReact

About the role

What you'll do

  • Develop and enhance the AI security agent Hai with features for natural language insights and secure workflows.
  • Integrate advanced AI techniques like Agentic AI, Memory systems, RAG, and LLM-based models into the security platform.
  • Build 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 to translate needs into engineering deliverables.
  • Use data-driven decision making and first principles problem solving to improve AI security capabilities and system performance.

What you should know

  • Role requires onsite presence 1 day per week in Seattle, WA or Austin, TX, supporting a flexible hybrid work model.
  • Opportunity to work on cutting-edge AI security technologies and contribute to a platform used by thousands of customers.
  • Candidates should be comfortable working in a fast-evolving field with a strong emphasis on responsible AI and security.
  • The role involves collaboration across multiple teams, requiring strong communication and adaptability to changing requirements.
  • Competitive compensation with equity options and comprehensive benefits, including unlimited PTO and parental leave.

About the company

  • HackerOne is a global leader in Continuous Threat Exposure Management (CTEM) and AI-powered cybersecurity solutions.
  • The company values a culture of Customer Obsession, transparency, and collective success with a strong emphasis on inclusion.
  • Trusted by major enterprises and government agencies, HackerOne combines a large security research community with AI innovation.
  • Recognized as a Most Loved Workplace for young professionals and noted for leadership in AI Security Testing by Gartner.
  • HackerOne operates in the cybersecurity industry with a focus on offensive security and AI-driven innovation.

Key required skills

PyTorchTensorFlowHuggingFace TransformersLLM integrationAI safetyMLOpsRuby on RailsGraphQLReact

Summary generated from the original posting.