Software Engineer, AI and Data Protection

Responsibilities

• Develop server code in C++, Java or Go for content analysis with high availability at scale.
• Develop novel algorithms for detecting AI security risks, classifying structured and unstructured sensitive information.
• Train, evaluate, and productionize ML/Natural Language Processing (NLP) models for token tagging and payload classification tasks.
• Develop data mining pipelines, synthetic data generation pipelines, and build datasets for training and evaluation.
• Partner with research groups on developing innovative ML/NLP solutions.
• - Develop server code in C++, Java or Go for content analysis with high availability at scale. - Develop novel algorithms for detecting AI security risks, classifying structured and unstructured sensitive information. - Train, evaluate, and productionize ML/Natural Language Processing (NLP) models for token tagging and payload classification tasks. - Develop data mining pipelines, synthetic data generation pipelines, and build datasets for training and evaluation. - Partner with research groups on developing innovative ML/NLP solutions.

Minimum qualifications:

Preferred qualifications: