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Horizon3.ai · 1 week ago

Senior Machine Learning Engineer - Applied AI

United States

Full-time

Remote

Senior Level, Lead/Staff

8+ years exp

Horizon3.ai is a fast-growing, remote cybersecurity company dedicated to enabling organizations to proactively find and fix exploitable attack vectors. They are seeking a Senior Machine Learning Engineer with deep experience in deploying emerging AI technology to lead the creation of innovative AI solutions focused on enhancing cybersecurity measures.

Artificial Intelligence (AI)Cyber SecurityEnterprise SoftwareMachine LearningNetwork Security

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

Qualification

AI/ML solutions deploymentPython programmingAI frameworks knowledgeCloud AI platformsMathematical/statistical backgroundVulnerability detection methodsPenetration testing experienceAnalytical skillsTechnical documentation skillsProblem-solving aptitudeCommunication skillsTime management

Required

8+ years in software development with strong mathematical or statistical background

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

Preferred

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