Senior ML Engineer, AI Security

Job Description

Example projects

• Extend the scope of one of our detectors to support multiple languages without dropping performance on already supported languages.

• Increase the scope where our defenses perform by 100x (e.g., multi-lingual data, code, etc).

• Extend modeling and data generation to enable passing additional context to our prompt injection detectors, such as the LLM output and behavioral metadata.

• Red team our model to understand the most pressing vulnerabilities of our detectors and prioritize the data collection and generation required to fix them.

Qualifications

What you’ll bring

• You have at least 4 years of experience shipping machine learning models to production, ideally in environments where reliability and quality are key (e.g., autonomous driving, industrial applications, healthcare).

• Most of your experience productionizing ML models has been in unstructured data spaces such as NLP and vision.

• You have had experience working on end-to-end development of ML models.

• You have experience working on the “long tail” of data distribution, bringing models from prototypes to real-world systems.

• You aspire to play a pivotal role in defining the future of secure AI within a mission-driven company with ambitious goals.