or apply directly on Dragos's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Dragos's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- No 0% of Dragos's roles list one
- Ghost-job risk at Dragos
- high 54 stale, 2 reposted of 56 open
- Hiring momentum
- 84 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Dragos's own greenhouse board since 2026-08-03. Full hiring picture for Dragos.
About this role
As a Senior AI/ML Engineer at Dragos, you will work at the intersection of data engineering and applied machine learning, integrating existing ML models into product and data pipelines. Your responsibilities will include applying techniques like clustering and anomaly detection to cybersecurity data, ensuring model outputs are reliable, and collaborating with data and AI engineers to enhance the Dragos platform.
- benefits
- 2/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Dragos as an employer.
What you need
- 5+ years of software engineering experience with ML outputs or data pipelines in a production context
- Strong Python skills
- SQL proficiency
- Hands-on experience applying ML techniques including clustering, classification, and anomaly detection
- Familiarity with scikit-learn and the surrounding Python ML ecosystem
- Solid understanding of data pipeline concepts
Nice to have
- Cybersecurity domain knowledge, especially around threat detection or ICS/OT operations
- Experience with graph-based representations of network topology or asset relationships
- Familiarity with stream processing or event-driven architectures
- Exposure to containerized environments (Docker, Kubernetes)
What you get
- Salary: $190,000
- Competitive Equity Package
- Comprehensive Benefits Plan
Worth weighing
- Role focuses on applying existing ML models rather than training from scratch or managing infrastructure
- No mention of specific tools or technologies beyond Python and SQL, which may limit exposure to newer technologies
Summarised from Dragos's posting. Read the full original.
Listed by Dragos on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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