About the Role Abnormal Security is looking for a Senior Software Engineer to join the Message Detection - Attack Detection team. At Abnormal, we protect our customers against nefarious adversaries who are constantly evolving their techniques and tactics to outwit and undermine traditional approaches to security. Our novel behavioral-based approach is designed to provide effective protection. Abnormal has been recognized as one of the top cybersecurity startups, and our behavioral AI system has helped us win various cybersecurity accolades, resulting in being trusted to protect more than 8% of the Fortune 1000 (and ever growing).
In a landscape where a single successful attack can lead to financial losses of millions of dollars, the Attack Detection team plays a central role in building an extremely high recall Detection Engine that can operate on hundreds of millions of messages with milliseconds latency. The mission of the Attack Detection team is to provide world-class detector efficacy to tackle the changing attack landscape using a combination of generalizable and auto-trained models as well as specific detectors for high-value attack categories.
This team is solving a multi-layered detection problem, which involves modeling communication patterns to establish enterprise-wide baselines, incorporating these patterns as robust signals, and combining these signals with contextual information to create extremely precise systems. The team builds discriminative signals at various levels including message level (e.g., presence of particular phrases), sender-level (e.g., frequency of sender), and recipient level (e.g., likelihood of receiving a safe message). These signals are then combined and utilized to train highly accurate model-based as well as heuristic detectors. In order to ingest, evaluate, and build on these signals, it is critical to have a robust ML platform that scales to meet the needs of our customers.
This role offers an opportunity to have a significant impact on the overall charter, direction, and roadmap of the team. As a Senior Software Engineer, you will collaborate with machine learning engineers to architect an ML platform that enables the development and deployment of large ML models with low latency.
What you will do Architect, design, build, and deploy backend services and infrastructure that support a world-class Detection Engine.
Own impactful projects such as building and improving our feature store, optimizing models to run with lower latency/memory requirements, and generally act as the bridge between our ML and platform teams.
Coach and mentor junior engineers via 1-on-1s, pair programming, high-quality code reviews, and design reviews.
Must Haves 5+ 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 systems.
Ability to work well with 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 collaborators.
BS degree in Computer Science, Applied Sciences, Information Systems, or other related engineering field.
Nice to Haves Knowledge of ML systems/products and/or distributed system technologies (feature platform serving systems, ML training, and ML serving platforms, etc.).
Experience working with high-throughput offline systems in Python and/or Go.
MS degree in Computer Science, Electrical Engineering, or other related engineering field.
Familiarity with the cybersecurity industry.
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