Senior ML Engineer, AI Security

Check Point Software; Zürich; Vor Ort; CHF 120.000 - 170.000; Vollzeit

Zusammenfassung

Check Point Software is seeking an experienced ML Engineer to advance production-grade models in secure AI contexts. You’ll work on NLP and vision systems, extend detectors to multilingual data, and bring prototypes to reliable, real-world deployments.

You’ll collaborate across teams to harden defenses and explore new data distributions while aligning with our mission to safeguard digital assets. Join a world‑leading cyber security company and help shape the future of AI safety in production

Qualifikationen

• At least 4 years of experience shipping ML models to production.
• Experience in unstructured data spaces such as NLP and vision.
• End-to-end development experience of ML models.
• Experience bringing models from prototypes to real-world systems.
• Desire to shape the future of secure AI in a mission-driven company.

Aufgaben

• Extend a detector to support multiple languages without dropping performance.
• Scale defenses by 100x with multilingual data and code.
• Extend modeling to pass more context to detectors (LLM output, metadata).
• Red team the model to identify vulnerabilities and guide data collection.

Kenntnisse

ML production

NLP/vision

End-to-end ML

Unstructured data

Secure AI

Jobbeschreibung

Why Join Us?

As the world’s leading vendor of Cyber Security, facing the most sophisticated threats and attacks, we’ve assembled a global team of the most driven, creative, and innovative people. At Check Point, our employees are redefining the security landscape by meeting our customers’ real-time needs and providing our cutting-edge technologies and services to an ever-growing customer base.

Check Point Software Technologies has been honored by Time Magazine as one of the World’s Best Companies for 2024 and Newsweek’s 2025 list of Americas Best Cybersecurity Companies. We've also earned a spot on the Forbes list of the World’s Best Places to Work for five consecutive years (2020-2024) and recognized as one of the World’s Top Female-Friendly Companies. If you're passionate about making the world a safer place and want to be part of an award-winning company culture, we invite you to join us.

Key Responsibilities

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.