machine learning engineer for cybersecurity

Enigma is a well-funded startup building applications of large language models and AI agents to solve real-world industry challenges, including cybersecurity-related problems.

• Design and implement evaluation frameworks to measure performance, track improvements, and ensure consistent value delivery;
• Own the ML lifecycle from prototype to production while enabling rapid iteration and maintaining reliability;
• Collaborate with product teams to integrate ML into customer-facing features;
• Improve AI agent performance through experimentation, prompt engineering, and architecture enhancements;
• Develop foundational ML infrastructure, monitoring, and tooling to support rapid growth;
• Work closely with senior leadership with high autonomy;
• Provide guidance and mentorship to junior ML engineers.

• 5+ Years building and scaling ML systems in production;
• Strong foundation in classical and deep learning before specializing in LLMs and transformers;
• Track record of integrating ML systems into real products;
• Experience across startups and/or scale-ups;
• Strong Python skills and adaptability across frameworks and tools, including LangChain and workflow orchestration;
• Ability to operate autonomously while aligned with leadership;
• Experience translating technical capabilities into business value;
• Nice to have: experience with AI agents, LLMs, or generative AI applications, domain knowledge in cybersecurity or related fields, background at ML-first companies, experience with modern MLOps and cloud ML infrastructure, track record of optimizing model performance and costs.

• Opportunities to apply ML to significant industry challenges;
• Opportunity to shape infrastructure and systems that will scale;
• Collaboration with experienced professionals from top tech companies and scale-ups;
• Opportunity to establish ML practices and standards;
• Opportunities for leadership, technical specialization, or senior IC roles;
• Work at the intersection of generative AI and practical applications.