Senior Software Engineer - Scoring Infrastructure

About The RoleAbnormal Security is looking for a Senior ML Infra Engineer to join the Detection Team. The Detection Division is focused on building the world’s most advanced technology for identifying and stopping email and cloud-based attacks that were previously undetectable and help make the world a safer place. As an ML Infra Engineer focused on building systems for Detection’s Signal Platform, you will be responsible for making feature development at Abnormal a fast, responsive, stable, and confident experience for Machine Learning Engineers.The ideal candidate would have the following qualities:A first principles approach to building scalable, customer-centric solutionsA drive to solve meaningful & pragmatic problems for real-world peopleAn ownership and impact oriented outlook on your efforts and growthAn ability to iterate in real-time-solving novel problems, quickly and autonomouslyAn ability to iterate in real-time - solving novel problems, quickly and autonomously.What you will doArchitect, design, build, and deploy backend services and infrastructure that support a world-class Detection EngineOwnership projects that enable us to meet ambitious goals for, such as building the plan to scale components of Detection’s Scoring Pipeline by 10x Collaborate closely with MLE teams, by distilling feedback, correlating it to our strategy, and executingCoach and mentor junior engineers via 1on1s, pair programming, high quality code reviews and design reviewsMust Haves5+ years of professional experience as a hands-on engineer building data-oriented products Experience with real-time, online, and/or high-throughput & low-latency distributed systemsWorks well with other stakeholders - has worked with cross-functional teams to drive projects over the finish-line.High standards - sets high standards and expectations for project execution for themselves and for collaboratorsNice to HavesKnowledge of ML systems/products and/or distributed system technologies (Kafka, Redis, Docker, Kubernetes, feature platform serving systems, ML training and ML serving platforms, etc.)Experience working with high-throughput online systems in Python and/or GoMS degree in Computer Science, Electrical Engineering or other related engineering fieldFamiliarity with cyber security industryAt Abnormal Security certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. We know that benefits are also an important piece of your total compensation package. Learn more about our Compensation and Equity Philosophy on our Benefits & Perks page.Base salary range:$176,000—$207,000 USD