Dragos is looking to defend industrial organizations that provide necessities of modern civilization by arming customers with best-in-class technology, threat intelligence, and services to protect their systems as effectively and efficiently as possible.
Requirements
- Strong technical background in machine learning, data science, and production AI/ML systems
- Prior experience as an engineer with strong working knowledge of technologies such as Python, scikit-learn, PyTorch, TensorFlow, LangChain, Docker, Kubernetes, and cloud platforms
- Comfortable with hands-on development or troubleshooting of AI/ML systems
- Experience with natural language processing, time series analysis, anomaly detection, and classification systems
- Hands-on experience productionizing LLM-based / Generative AI capabilities (e.g., retrieval-augmented generation, prompt engineering, model fine-tuning) is a strong plus.
- Knowledge of cybersecurity threat detections, threat intelligence, or ICS/OT security
- Management experience with Agile and working in cross-functional Product Teams
Responsibilities
- Lead and mentor a team of data scientists and machine learning engineers, driving their technical growth and professional development.
- Champion the vision and execution of production-grade AI/ML systems for Industrial Control System (ICS) / Operational Technology (OT) cybersecurity use cases.
- Collaborate with product and engineering teams to consistently define AI/ML architecture and solution strategies.
- Establish and drive engineering best practices for AI/ML development lifecycle including data governance, model validation, testing, and deployment processes.
- Provide guidance during model design, development, testing, and release of AI/ML capabilities.
- Ensure timely delivery of projects, balancing technical debt and innovation in machine learning systems.
- Ensure support for fielded AI/ML production deployments in resource-constrained environments.
Other
- 8+ years of engineering management experience, consistently building and leading highly effective technical teams with demonstrated success directly supervising small teams of senior engineers
- Foster a collaborative culture, driving career growth, and aligning AI/ML strategy with the overall engineering vision
- Build hiring plans and recruit top-tier talent to scale the team as business needs evolve.
- All new hires must pass a background check as a condition of employment.
- Dragos is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, state, or local laws.
