Applied AI Engineer

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September 30

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Horizon3.ai

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Horizon3.ai's mission is to help you find and fix attack vectors before attackers can exploit them. NodeZero, our autonomous penetration testing solution, enables organizations to continuously assess the security posture of their enterprise, including external, identity, on-prem, IoT, and cloud attack surfaces.

51 - 200 employees

Founded 2019

📋 Description

• Build sophisticated AI systems capable of discovering vulnerabilities and streamlining penetration testing methodologies • Research and implement AI-driven vulnerability detection and exploitation methods • Automate exploitation workflows using AI technologies • Lead complete development lifecycles for AI features from concept through deployment • Design and implement advanced testing capabilities that detect vulnerabilities in AI-native applications • Research and target emerging attack vectors specific to applications developed with AI and implement detection methods • Implement scalable solutions that can use AI to exploit traditional CVEs, credential-based attack paths, and data pilfering vectors • Guide technical conversations, assess code quality, and facilitate design meetings while sharing knowledge to enhance team capabilities • Support and guide less experienced team members, fostering their professional development • Partner closely with senior engineers to translate research into reliable, scalable systems and contribute to autonomous offensive testing capabilities

🎯 Requirements

• 3+ years proven track record building and deploying AI/ML solutions in live environments • Expert-level Python programming abilities • You’ve shipped and maintained AI/ML systems, not just built prototypes, and ideally in multiple domains • Demonstrated interest in cybersecurity and penetration testing • Knowledge of AI frameworks and machine learning libraries (such as TensorFlow, PyTorch, Hugging Face, OpenAI APIs, and LangChain) • Experience with ML data preprocessing techniques including normalization, feature engineering, and dataset preparation for model training and fine tuning • Experience with cloud AI platforms such as AWS Bedrock, AWS SageMaker, and Azure AI, with ability to implement and optimize solutions across environments • Strong analytical skills and ability to clearly communicate complex security concepts • Comprehensive understanding of various database technologies, including relational and non-relational systems • Outstanding problem-solving aptitude, a “hacker mindset” • Be self-motivated and highly energetic to have the ability to operate effectively with limited supervision and guidance • Strong technical documentation and communication skills • Ability to manage concurrent initiatives and use effective judgment in prioritization and time management • Legally authorized to work in the United States (applicant is asked if they are legally authorized and whether they will require sponsorship) • Nice-to-have: Background in training specialized machine learning models for security purposes; experience with and understanding of AI-specific vulnerabilities; AI red teaming or exploiting AI-specific vulnerabilities; penetration testing enhanced by AI technologies; certifications such as OSCP, CISSP, GPEN, Security+, LPT, or CEH

🏖️ Benefits

• Inclusive Team: We value diversity and promote an inclusive culture where everyone can thrive. • Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities. • Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking. • Remote Work: We are a 100% remote company. Enjoy the convenience and work-life balance that comes with remote work. • Competitive Compensation: We offer competitive salary, equity and benefits. • Equity: All full-time roles are eligible for an equity package in the form of stock options. • Health, vision & dental insurance for you and your family. • Flexible vacation policy. • Generous parental leave.