---
title: 'Staff AI/ML Engineer at Dragos'
canonical: 'https://feeny.ai/job/staff-ai-ml-engineer-dragos-united-states-jmgb0zf1v8m2'
type: 'job'
last_seen: '2026-09-11'
---

# Staff AI/ML Engineer at Dragos

- **Company:** Dragos
- **Location:** United States
- **Posted:** 2026-07-21
- **Last confirmed live:** 2026-09-11
- **Apply:** https://job-boards.greenhouse.io/dragos/jobs/5311375008

## Job description

At Dragos, the mission is personal. The systems we protect deliver the water you drink, power your home, and keep the hospitals your community depends on running. Those critical infrastructure systems that power our civilization around the world are under attack every day by adversaries. When those systems fail, people are immediately at risk. We are the global leader in xOT cybersecurity, combining technology, threat intelligence, and expert services. The people here chose this work because they understand what is at stake. Here, you will find a remote-first mission-driven team across North America, Europe, the Middle East, and APAC built on authenticity, transparency, and trust. If safeguarding the systems that protect your family, friends, and community is the kind of work that matters to you, you are in the right place.

About the Role:

We're seeking an experienced Staff Machine Learning Engineer to join our Engineering team. In this role, you'll drive the design and implementation of production machine learning systems within the Dragos platform. Working closely with Data Engineers and product teams, you'll build and deploy AI/ML capabilities that enhance threat detection, automate security analysis, and deliver actionable intelligence for Industrial Control System (ICS) and Extended Operational Technology (xOT) cybersecurity applications.

Responsibilities:

- Design and implement production-grade machine learning systems that expand Dragos product capabilities, with consideration for both cloud and resource-constrained on-premises environments.
- Build and optimize ML model architectures for ICS/OT cybersecurity use cases, including threat detection, asset classification, behavioral analysis, anomaly detection, and natural language processing systems.
- Develop robust data pipelines and ML workflows that integrate with existing data infrastructure, supporting both real-time and batch processing requirements.
- Collaborate with OT detection experts to translate research concepts and prototypes into scalable, production-ready ML systems.
- Partner with Data Engineers to establish data contracts and implement observability frameworks for ML pipelines, including monitoring, versioning, and deployment best practices.
- Contribute to ML infrastructure improvements, including automated testing frameworks, CI/CD pipelines, and deployment strategies for containerized environments (Kubernetes, Docker).
- Evaluate and adapt state-of-the-art ML research and open-source models to domain-specific cybersecurity applications.
- Troubleshoot and optimize ML model performance in production environments, addressing issues related to latency, accuracy, and resource utilization.

Qualifications:

- 6+ years of engineering experience with at least 4 years focused on machine learning implementations in production environments.
- Strong software engineering foundation with expertise in Python and SQL as well as experience with at least one additional language (Go, Rust, Java, or JVM-family languages).
- Demonstrated experience building and deploying ML systems using modern frameworks and libraries (scikit-learn, PyTorch, TensorFlow, HuggingFace, or similar).
- Experience with LLMs, retrieval-augmented generation (RAG), or advanced NLP techniques is beneficial.
- Proven track record implementing ML solutions such as classification systems, time series analysis, anomaly detection, or NLP applications that deliver measurable business impact.
- Experience with MLOps practices, including model versioning, monitoring, pipeline orchestration, and deployment in high-reliability environments.
- Familiarity with data engineering concepts, including data pipelines, stream processing, message queuing, and working with medium-to-large scale datasets.
- Knowledge of containerized deployment solutions and cloud-native architectures.
- Strong communication skills with the ability to explain technical concepts to diverse stakeholders and collaborate effectively across teams.
- Cybersecurity domain knowledge, particularly in threat detection, threat intelligence, or ICS/OT operations is preferred

Compensation:

- Salary:  $225,000
- 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.

## About Dragos

## Company Overview
- **One-liner**: Dragos provides industrial cybersecurity technology and services to protect operational technology (OT) and critical infrastructure from cyber threats.
- **Entity Type**: Private (Series D; total funding $432.2M)
- **Headquarters**: Hanover, Maryland, United States
- **Founded**: 2016
- **Founders**: Robert M. Lee (CEO) and other cybersecurity experts

## Core Business
- **Primary industry**: Industrial cybersecurity (OT/ICS security)
- **Target customers**: B2B – electric utilities, oil & gas, manufacturing, water, transportation, mining, and government entities operating critical infrastructure.
- **Mission**: "To safeguard civilization from those trying to disrupt the industrial infrastructure we depend on every day." [dragos.com](https://www.dragos.com/about)

## Products & Services
- **[Dragos Platform]**: SaaS/on-premises platform for OT asset visibility, vulnerability management, threat detection, investigation, and response. Integrates with IT security tools and provides continuous threat intelligence. [dragos.com](https://www.dragos.com/)
- **Professional Services**: Incident response, penetration testing, consulting, and resident engineering.
- **Threat Intelligence**: Contextual reports and adversary tracking via the Dragos Threat Intelligence team.

## Market Standing
- **Valuation**: Not publicly disclosed
- **Annual Revenue**: ~$100M (est. 2025) [linkedin.com](https://www.linkedin.com/company/dragos-inc.)
- **Total Funding**: $432.2M across Seed, Series A ($10M), Series B ($37M), Series C ($110M), Series D ($74M) [linkedin.com](https://www.linkedin.com/company/dragos-inc.)
- **Notable Investors/Partners**: Series D backed by a single large investor (likely Koch Disruptive Technologies); other investors from prior rounds include Schweitzer Engineering Laboratories, AllegisCyber, and Energy Impact Partners. Strategic alliance with Accenture.
- **Growth Signals**: Headcount grew 14.6% YoY to 441 employees; active job postings increased 233% yearly; operates in 12 countries.

## Competitive Advantages
- **OT-specific expertise**: Founders and team have hands-on experience investigating landmark ICS attacks (e.g., Stuxnet, Triton, Colonial Pipeline).
- **Platform depth**: Combines asset discovery, vulnerability management, threat detection, and incident response in a single platform built for OT environments (not retrofitted IT tools).
- **Threat intelligence edge**: Continuous insights from a dedicated threat intelligence team that tracks adversary groups targeting industrial sectors.
- **Strong customer base**: Protects critical infrastructure in sectors like electric, oil & gas, and water across 12 countries.

## Strategic Focus
- **Growth priorities**: Expanding globally (recent offices in Japan, Saudi Arabia, Singapore), investing in AI/cloud solutions (new Manager of AI and Cloud Solutions role), and deepening partnerships with systems integrators like Accenture.
- **Product direction**: Enhancing platform automation, cloud delivery, and machine learning for threat detection.

## Why Work Here
- **Mission-driven**: Employees directly protect systems that keep communities safe (hospitals, power, water). As stated on the careers page: "If protecting the systems that keep communities, friends, and family safe matters to you, this is where you belong." [dragos.com/careers](https://www.dragos.com/careers)
- **Remote-first culture**: The company is remote-first with offices in North America, EMEA, and APAC.
- **Values**: Transparency (no office politics), authenticity, trust, and mission-driven decision-making.
- **Compensation & culture**: Glassdoor-like rating of 4.0/5.0 (130 reviews) with work-life balance 4.1, culture 4.0, and competitive salaries (e.g., Senior Account Executive ~$124K, Senior Product Marketing Manager ~$182K). [linkedin.com](https://www.linkedin.com/company/dragos-inc.)
- **Growth opportunities**: Rapidly hiring (30 open positions as of July 2025), with strong career progression in technical and sales roles.

## Sources
1. [dragos.com](https://www.dragos.com/)
2. [dragos.com/about](https://www.dragos.com/about)
3. [dragos.com/careers](https://www.dragos.com/careers)
4. [linkedin.com/company/dragos-inc.](https://www.linkedin.com/company/dragos-inc.)
5. [job-boards.greenhouse.io/dragos](http://job-boards.greenhouse.io/dragos)

## Other roles at Dragos

- [Senior OT Threat Hunter](https://feeny.ai/job/senior-ot-threat-hunter-dragos-united-states-vmnwxn5zaps6) — United States
- [Senior Technical Project Manager](https://feeny.ai/job/senior-technical-project-manager-dragos-united-states-49qnxn50m3ab) — United States
- [Senior Technical Account Manager - Federal](https://feeny.ai/job/senior-technical-account-manager-federal-dragos-united-states-2en097h2fttz) — United States
- [Senior Technical Account Manager](https://feeny.ai/job/senior-technical-account-manager-dragos-australia-bajx2a2rymkk) — Australia
- [Staff SDE, Networking](https://feeny.ai/job/staff-sde-networking-dragos-united-states-ms2mapbxd0wp) — United States
- [Lead Business Systems Engineer](https://feeny.ai/job/lead-business-systems-engineer-dragos-united-states-73ymad7hh44r) — United States
- [Senior Engineering Support Engineer](https://feeny.ai/job/senior-engineering-support-engineer-dragos-united-states-t5m59zvk87w5) — United States
- [Channel Solution Architect - South East Asia](https://feeny.ai/job/channel-solution-architect-south-east-asia-dragos-singapore-ngtxf5k3kywg) — Singapore
- [Senior Incident Responder](https://feeny.ai/job/senior-incident-responder-dragos-singapore-hpr5nz9rfe65) — Singapore
- [Field Marketing Operations Specialist, APAC](https://feeny.ai/job/field-marketing-operations-specialist-apac-dragos-australia-sn5evg7phv50) — Australia