- Remote, United States
- Remote
- Internship · Entry
As a Machine Learning Engineer on our Internet Security Research Team, you will be a key innovator transforming ideas into products for our next-generation security platform, detecting and defending against emerging web security threats.
Responsibilities
- Perform in-depth data analysis to deeply understand security data and the threat domain.
- Design, train, and evaluate machine learning algorithms to significantly improve the analytical performance of threat detection models.
- Build and productionize machine learning models and develop the distributed systems that utilize them to analyze and categorize enormous volumes of URLs.
- Design and build robust, scalable machine learning systems, carefully balancing cost with model performance.
- Establish automated training pipelines and develop data analytics tools to incrementally enhance model performance on a growing dataset.
Requirements
- MS or PhD in Machine Learning, Computer Science, Data Science, or a related field
- Nice to have: Natural Language Processing (NLP)
- Nice to have: document classification
- Nice to have: transformers
- Nice to have: convolutional networks