[Remote] Machine Learning Engineer - Applied AI

Note: The job is a remote job and is open to candidates in USA. Horizon3.ai is a fast-growing, remote cybersecurity company focused on enabling organizations to proactively identify and address security vulnerabilities. They are seeking a Machine Learning Engineer - Applied AI to design and implement AI solutions that enhance their cybersecurity offerings and improve vulnerability detection across various environments. Responsibilities • 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 Skills • 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 • Background in training specialized machine learning models for security purposes • Experience with and understanding of AI-specific vulnerabilities • Background in AI security offense, testing AI system vulnerabilities, or creating automated security solutions powered by artificial intelligence • Previous experience analyzing security using large language models, conducting penetration testing • Experience with AI red teaming or learning model vulnerabilities • Demonstrated examples of exploiting AI-specific vulnerabilities • Background in AI security offense, testing AI system vulnerabilities, or creating automated security solutions powered by artificial intelligence • Previous experience analyzing security using large language models, conducting penetration testing enhanced by AI technologies, and researching machine learning weaknesses and countermeasures • Experience identifying attack paths across full-stack environments • Background in application security testing, penetration testing, or offensive security • Understanding of web application security fundamentals • Certification(s) demonstrating cybersecurity expertise such as OSCP, CISSP, GPEN, Security+, LPT, or CEH Benefits • Health, vision & dental insurance for you and your family • Flexible vacation policy • Generous parental leave Company Overview • Horizon3.ai offers an autonomous penetration testing platform that helps organizations proactively find and fix security vulnerabilities. It was founded in 2019, and is headquartered in San Francisco, California, USA, with a workforce of 201-500 employees. Its website is Apply tot his job