Raydar
Senior Machine Learning Engineer
$250K–$300K
San Francisco, California · Senior · Full-time · Posted Oct 1, 2026
- Experience
- 4+ years of machine learning engineering experience.
About the job
Own the design, training, and production deployment of machine learning systems for real-time cybersecurity threat detection.
What you'll do
- Build models to flag suspicious activity and take them from research into production, measuring performance at scale.
- Architect scalable systems and own work end to end, from data pipelines through serving and infrastructure.
- Engage customers to uncover detection signals and help set technical standards across the team.
What they ask for
- 4+ years of machine learning engineering experience, including shipping models to production at scale.
- Strong grounding in statistics, linear algebra, and applied modeling of anomalous behavior.
- Experience training and deploying models, with sound judgment about model selection and limitations.
- Strong production-grade Python and end-to-end system ownership; hands-on experience with low-latency data processing and scalable storage and compute systems.
Nice to have
- Background in quantitative finance or fraud detection, or production ML experience at an early-stage company or on an ML infrastructure team.
- Degree in computer science, math, or a quantitative field; or first-author publication at a leading machine learning conference.
Pay
USD 250,000 to 300,000 per year (base salary)
Tools
Python
AI focus
Develop and deploy machine learning models for real-time suspicious-activity detection, including modeling anomalous behavior.
Model-written summary · the original posting is authoritative