The Detection Team is looking for an experienced machine learning engineer to join our Static AI team. The Static AI team develops state-of-the-art machine learning models that operate on millions of machines across the world to make sub-second decisions to stop malware before it runs. The team brings together cross-functional skill sets including data science, ML engineering, and software engineering, to research, develop, ship, and support ML malware detection engines across Windows, Mac, and Linux machines and cloud environments.
What you will be doing
Design and deliver innovative ML-based detection engines
Research new approaches to AI/ML and work with your peers to integrate the most promising advancements in ML into our product
Build analytics systems that learn from a wide variety of internal and external data sources to improve our existing ML models and create new ones
Requirements:
Degree in Computer Science or Mathematics, or equivalent experience
Experience designing, training, and evaluating models used in production systems
Experience with collecting, building, and tailoring large datasets for training machine learning models
Ability to work collaboratively to translate business requirements into technical solutions
Willingness and ability to work in a diverse, globally distributed team
Experience / interest in some of these areas are a bonus
Degree in Computer Science or Mathematics, or equivalent experience
Experience designing, training, and evaluating models used in production systems
Experience with collecting, building, and tailoring large datasets for training machine learning models
Ability to work collaboratively to translate business requirements into technical solutions
Willingness and ability to work in a diverse, globally distributed team
Experience / interest in some of these areas are a bonus
Security products, especially detection systems
Cloud infrastructure / MLOps
This position is open to all candidates.
