Senior Software Engineer, Abnormal Security

• 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
• Works 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 collaborators
• BS degree in Computer Science, Applied Sciences, Information Systems or other related engineering field
• Candidates offered employment must be eligible to access controlled technology under U.S. export control laws

Desirable

• 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 the traditional approaches to Security
• The Attack Detection team plays the central role of building an extremely high recall Detection Engine that can operate on hundreds of millions of messages at milliseconds latency
• The Attack Detection team’s mission statement is to provide world-class detector efficacy to tackle 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 (eg. presence of particular phrases), sender-level (eg.frequency of sender) and recipient level (eg.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 would also have 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 development and deployment of large ML models with low latency
• Architect, design, build, and deploy backend services and infrastructure that support a world-class Detection Engine
• Owning impactful projects such as building and improving our feature store, optimizing models to run with lower latency/memory requirements, and generally being the bridge between our ML and platform teams
• Coach and mentor junior engineers via 1on1s, pair programming, high quality code reviews and design reviews

• As part of Abnormal AI's secure hiring practices, we conduct video interviews and validate applicant identity at various stages through our recruitment process
• Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer