Staff ML Engineer - Tech Lead (Zürich)
You want to operate at the cutting edge of AI, driving the development of the best defenses in the AI cybersecurity market. As a Staff-level Tech Lead within the ML team at Lakera, you will be responsible for ensuring that Lakera’s defenses adapt to the rapidly changing threat landscape, while simultaneously ensuring low latency and false positives. Your challenge? To transform complex requirements and open-ended questions into actionable, technical strategies that propel the team forward rapidly. 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 AI can unleash its best potential–for good.
About Lakera
Lakera is on a mission to secure the era of intelligent computing. We are heading towards a future where AI-powered applications take center stage. 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, giving them the confidence to navigate this new dynamic landscape and unleash the next phase of innovation.
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. If you're eager to be part of a team that's not just keeping pace but setting the pace, Lakera is the right place for you. Let's shape the future together.
Example projects
- Extend modeling and data generation to enable passing additional context to our prompt injection detectors, such as the LLM output and behavioral metadata.
- Design, prioritize, and implement a strategy to flag out-of-distribution data to ensure our detectors are secure by default.
- Increase the scope where our defenses perform by 100x (e.g., multi-lingual data, code, etc).
What you’ll bring
- You have successfully led a team of 3+ people to ship machine-learning models to production.
- You have at least 6 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 aspire to play a pivotal role in defining the future of secure AI within a mission-driven company with ambitious goals.