Senior ML Engineer Z rich - Lakera

You want to operate at the cutting edge of AI, building the strongest defenses in the AI cybersecurity market. You will be increasing the scope and quality of our defenses, and playing a pivotal role in ensuring that GenAI applications can be deployed securely at scale. You will lead the creation of cutting-edge models that perform exceptionally well and operate in real time. This involves continuously identifying edge cases for our detectors and working to collect and generate intricate threat datasets to improve the performance of these models. You will ensure that Lakera can continuously ship the best defenses in the market with a high cadence. Your passion lies in shaping the future, working on ideas that define the secure use of AI in the decades ahead. Your work will play a vital role in ensuring that AI can unleash its best potential–for good.

About Lakera

Lakera is on a mission to ensure AI does what we want it to do. We are heading towards a future where AI agents run our businesses and personal lives. Here at Lakera , we're not just dreaming about the future; we're building the security foundation for it. We empower security teams and builders so that their businesses can adopt AI technologies and unleash the next phase of intelligent computing.

We work with Fortune 500 companies, startups, and foundation model providers to protect them and their users from adversarial misalignment. We are also the company behind Gandalf , the world’s most popular AI security game.

Lakera has offices in San Francisco and Zurich.

We move fast and work with intensity. We act as one team but expect everyone to take substantial ownership and accountability. We prioritize transparency at every level and are committed to always raising the bar in everything we do. We promote diversity of thought as we believe that creates the best outcomes.

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.

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 workin