HackerOne - Staff Software Engineer, Applied AI
Requirements
• 8+ years of experience as a software engineer, including deep experience building and maintaining production-grade AI platforms and infrastructure. • production-grade AI platforms • Must be able and willing to come to the office once per week (typically Thursdays). • Proven expertise in large language models (LLMs), generative AI, and machine learning frameworks such as TensorFlow, PyTorch, and Transformers in production environments. • large language models (LLMs), generative AI, and machine learning frameworks • TensorFlow, PyTorch, and Transformers • Strong hands-on experience in AI platform engineering, including model deployment, MLOps pipelines, model serving infrastructure, and shared AI services architecture. • AI platform engineering • model deployment, MLOps pipelines, model serving infrastructure • Experience building systems that support multiple AI product teams and applications, enabling scalable experimentation and deployment. • multiple AI product teams and applications • Solid understanding of AI safety and alignment principles, including responsible AI development, bias mitigation, and ethical AI practices. • AI safety and alignment principles • responsible AI development, bias mitigation, and ethical AI practices • Experience building AI development platforms, model registries, experimentation frameworks, and tools that accelerate AI innovation across organizations. • AI development platforms • model registries • experimentation frameworks • Familiarity with ReAct, AutoGen, or Semantic Kernel for agentic orchestration and multi-agent collaboration. • ReAct • AutoGen • Semantic Kernel • agentic orchestration • Experience in agent action routing, secure tool usage APIs, and feedback loops for autonomous agents. • agent action routing • secure tool usage APIs • feedback loops • Knowledge of prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and advanced LLM optimization strategies. • prompt engineering • fine-tuning • retrieval-augmented generation (RAG) • advanced LLM optimization • Experience with cloud-based AI/ML services (AWS Bedrock, GCP Vertex AI, Azure ML) and containerization technologies (Docker, Kubernetes) for AI workloads. • cloud-based AI/ML services • containerization technologies • Familiarity with Ruby on Rails, GraphQL, and React, and experience integrating AI capabilities into production web applications and APIs. • Ruby on Rails • GraphQL • React
Responsibilities
• Success in the Staff AI Engineer role will be accomplished by delivering on the responsibilities below in alignment with the Talent Principles that define how we work at HackerOne. • Talent Principles • 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. • AI-First • 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. • AI-First • 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. • 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. • First Principles Problem Solving • 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. • 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. • Change Agility • 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.
Benefits
• $200K – $256K • Offers Equity • HackerOne Pay Transparency • HackerOne defaults to disclosure in its pay transparency approach. All jobs are posted with the target hiring range, which is a subset of the full pay range for that role. We expect offers to be made within the target hiring range based on the selected candidate’s alignment to functional requirements for the role and our Talent and Leadership Principles. • Our U.S. compensation structure is based on the cost of labor by hub location. Candidates are assigned to a pay tier based on the hub they are aligned to. • Tier Locations • If you meet the criteria of the job requirements, we encourage you to apply. Our Talent Acquisition team can answer any salary-related questions you may have during the process. • HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world’s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024). • HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world’s top organizations. • HackerOne Values • HackerOne Values • HackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability. • Customer Obsessed • Default to Disclosure • Win Together • Staff Software Engineer, Applied AI • Remote Location: Seattle, WA • Remote Location: • 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 • Eligibility may differ by country • Employment at HackerOne is contingent on a background check. • Retirement plans • We're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR). • Visa/work permit sponsorship is not available.
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