Engineering Manager, Machine Learning and Data Science (Washington)

Engineering Manager, Machine Learning And Data Science

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

Compensation

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.