Senior Machine Learning Engineer

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