Abnormal AI is looking to solve the problem of protecting customers against evolving cyber attacks by building an extremely high recall Detection Engine that can operate on hundreds of millions of messages at milliseconds latency.
Requirements
- 2+ years experience of managing data driven (ML) product teams running at large scale data ( 100M+ ) and ability to guide a team technically in this respect
- 3+ years experience designing, building and deploying machine learning applications in one of the domains of text understanding, entity recognition, NLP experience, computer vision, recommendation systems, or search
- 4+ years of hands-on experience in building and safely shipping backend heavy product ML adjacent systems at high velocity
- Ability to understand business requirements thoroughly and bias toward guiding the team to build a simplest yet generalizable ML model / system that can accomplish the goal
- Metrics driven culture: Has led a team of engineers in building out systems and displayed the ability to define metrics of excellence and setup processes to continuously monitor and maintain high standards on metrics
- Familiarity with cyber security industry
- Experience with hiring and retention of top talent
Responsibilities
- Own the execution success of the quarterly roadmap for the Attack Detection team
- Deliver on: Extremely high recall detector engine in an adversarial environment using model based as well as heuristic detectors
- Deliver on: Automated model retraining pipelines based continuous ML deployment system to automatically ‘learn’ from new patterns
- Deliver on: Text based signal models to capture and model suspiciousness of email content in multiple languages
- Own both directly customer impacting metrics and system metrics and able to work with the team to proactively identify new attacks and repair degradations
- Own the machine learning feature consumption layer for both message metadata/content and current/historical user behavior type of signals and and systems and processes to continuously incorporate new features types into existing and new ML models
- Drive processes to enable the team to deliver on projects that are set by TLs as part of the technical roadmap
Other
- Must have 2+ years experience of managing data driven (ML) product teams
- Must have 3+ years experience designing, building and deploying machine learning applications
- Must have 4+ years of hands-on experience in building and safely shipping backend heavy product ML adjacent systems
- MS degree in Computer Science, Electrical Engineering or other related engineering field
- Base salary range: $214,200—$252,000 USD
