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Engineering Manager, Machine Learning and Data Science
Dragos
Data Science, Software Engineering, Other Engineering
United States
USD 205k-205k / year + Equity
Posted on Sep 19, 2025
Dragos is on a relentless mission to defend industrial organizations that provide us with the necessities of modern civilization; running water, functioning electricity, and safe industrial working environments. As the market leader in ICS/OT Cybersecurity, we are dedicated to arming our customers with best-in-class technology, threat intelligence, and services to protect their systems as effectively and efficiently as possible. We’re a remote-first culture with operations in North America, Europe, the Middle East, and APAC. We’re looking for mission-oriented teammates who embody our core values of authenticity, transparency, and trust. Are you ready to make a difference? Come join a mission that can save the world!
About the Role:
We are looking for a Machine Learning and Data Science Engineering Manager to lead our emerging AI/ML team. The ideal candidate should have deep technical knowledge of machine learning systems and data science methodologies, exceptional leadership skills, and a proven ability to develop high-performing teams. Key responsibilities include fostering a collaborative culture, driving career growth, and aligning AI/ML strategy with the overall engineering vision to enhance threat detection and provide actionable intelligence for critical infrastructure protection.
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.
- Foster a strong technical community by developing close relationships amongst Engineering Managers.
- 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.
- Stay current with emerging AI/ML technologies, frameworks, and research to drive continuous improvement and competitive advantage.
- Build hiring plans and recruit top-tier talent to scale the team as business needs evolve.
Qualifications:
- 8+ years of engineering management experience, consistently building and leading highly effective technical teams with demonstrated success directly supervising small teams of senior engineers
- 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
- Management experience with Agile and working in cross-functional Product Teams
- 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
Compensation:
- Salary: $205,000
- Competitive Equity Package
- Comprehensive Benefits Plan
#LI-NH1 #LI-REMOTE
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. All new hires must pass a background check as a condition of employment.