# Senior Machine Learning Engineer > Raydar · San Francisco, United States · Full-time · Posted 2026-10-01 **Salary:** USD 250,000–300,000 **Workplace:** on_site ## Description About the company Our client is a cybersecurity company. The role Raydar is recruiting for this role on behalf of our client. Own the design, training and production deployment of machine learning systems behind a core detection capability. Partner closely with technical leadership and help set engineering standards on a small, fast-moving team. What you'll do \- Design and build machine learning models that flag suspicious activity as it happens. \- Take models from research into production and measure how they behave at scale in a live environment. \- Architect systems that can absorb significant growth in data volume and traffic. \- Talk with customers to understand the threats they face and uncover new signals that strengthen detection. \- Set technical patterns, push for correctness and raise the quality bar across the team. \- Own systems end to end, from data pipelines through serving and infrastructure. ## Requirements What we're looking for \- 4+ years of machine learning engineering experience, including shipping models to production at scale. \- A solid mathematical grounding, including statistics, linear algebra and applied modeling of anomalous behavior. \- Experience training and deploying models, with good judgment about which approach fits a problem and where its limits lie. \- Strong engineering fundamentals, including clean production-grade Python and end-to-end system ownership. \- Hands-on background with low-latency data processing and scalable storage and compute systems. \- High agency: you scope your own work, propose solutions and execute without direction. \- Fast learner who ships quickly and is comfortable in a small, high-autonomy team. \- Pride in craft and in building things that hold up over time. Bonus points \- Background in high-stakes domains such as quantitative finance or fraud detection. \- Experience shipping production machine learning at an early-stage company or on an ML infrastructure team. \- Degree in computer science, math or a quantitative field. \- First-author publication at a leading machine learning conference. ## Benefits Compensation and benefits \- Base salary: USD 250,000 to 300,000 per year \- Equity \- Health, dental and vision coverage \- Retirement plan \- Commission Location and work model \- San Francisco, CA, United States \- On-site, 5 days per week in office \- Full-time ## Apply [Apply at Raydar](https://apply.workable.com/raydar/j/A8C3CD7F6C/apply) --- Powered by [Workable](https://www.workable.com)