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're seeking an experienced Principal Machine Learning Engineer to join our Engineering team. In this role, you'll lead the architecture and implementation of advanced machine learning capabilities within our Dragos platform. You will work alongside Data Scientists and Data Engineers to design, build, and deploy sophisticated AI/ML systems that enhance threat detection, automate analysis workflows, and provide actionable intelligence to our customers.
Responsibilities:
- Architect and implement production-grade machine learning systems that expand Dragos product capabilities, with special consideration for resource-constrained environments.
- Design and optimize AI/ML model architectures for Industrial Control System (ICS) / Operational Technology (OT) cybersecurity use cases, including threat detection, asset classification, behavioral analysis, and natural language query systems.
- Build robust pipelines and implement AI/ML approaches for security-relevant NLP, temporal pattern analysis, and recommendation systems.
- Lead technical initiatives for AI/ML infrastructure improvements, including monitoring, testing, and deployment frameworks.
- Collaborate with Data Scientists to translate research concepts into production-ready AI/ML systems.
Qualifications:
- 10+ years of engineering experience with at least 6 years focused on machine learning implementations.
- Deep expertise in designing and building production AI/ML systems that deliver measurable business impact within fielded products.
- Strong software engineering foundation with expertise in at least one of the following: Python/Rust/Java/Go, including deep expertise in mainstream AI/ML frameworks, libraries, and repositories (e.g., scikit-learn, PyTorch, TensorFlow, LangChain, Llama, HuggingFace, etc.)
- Proven track record implementing complex AI/ML systems, including LLMs, time series analysis, anomaly detection, and classification systems.
- Demonstrated ability to locate, evaluate, and adapt cutting-edge AI/ML research into practical, domain-specific solutions.
- Experience building and maintaining AI/ML operations, including pipelines, monitoring, versioning, and deployment in high-reliability environments.
- Excellent communication skills with the ability to explain complex technical concepts to various stakeholders.
Compensation:
- Salary: $260,000
- 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.
Top Skills
Similar Jobs
What you need to know about the Los Angeles Tech Scene
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
