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

• Healthcare
• Flexible PTO
• 401k
• One Medical
• Flexible Spending Account
• Mental Health Resources
• Home Office Stipend
• Monthly Internet & Phone Stipend
• Health and Wellness Stipend

Total funding: $534m

Fraud involving impersonation is one of the top causes of online financial crime. Criminal tactics like email account spoofing, where the criminal impersonates an official account to steal personal information or money, are rife. Abnormal Security is a startup aimed at handling these hyper-targeted and personalized email attacks by analyzing communications and identifying potential fraud before it can take place.