Applied Machine Learning Engineer - Security

StudySmarter; Zürich; Vor Ort; CHF 43.200 - 72.000; Vollzeit

Zusammenfassung

A leading technology company is looking for an Applied Machine Learning Engineer in Zurich, Switzerland. This role focuses on enhancing security across products by developing innovative ML methods. You will collaborate with security experts and tool developers to protect billions of devices. Ideal candidates have expertise in machine learning, an enthusiasm for security, and proficiency in programming languages like C, Python, and Rust. The salary offered ranges from EUR 43,200 to 72,000 per year.

Qualifikationen

• Expertise in machine learning techniques, particularly in generative models.
• Strong interest in security fields, especially offensive security.
• Proficient in software engineering with various programming languages.

Aufgaben

• Help invent and deliver new machine learning methods for security.
• Raise security levels of products protecting billions of users.
• Work with security researchers and tool developers.

Kenntnisse

Expertise in ML, especially large language models and generative modeling

Experience with security, especially offensive security

Fluency with C, C++, Python, Swift, Objective-C, Rust

Collaborative problem-solving and analytical skills

Jobbeschreibung

Apple’s Security Engineering & Architecture organization is responsible for the security of all Apple products. Passionate about safeguarding users, we believe that the best defense requires a great offense. When it comes to securing more than a billion devices running the world’s most sophisticated operating systems, that means finding vulnerabilities first. Our mission is to discover, understand, and exploit vulnerabilities across all layers of Apple’s platforms, and we believe that ML techniques significantly enhance our ability to do so. We are seeking an Applied Machine Learning Engineer who will help us invent and deliver these new methods and techniques. This position provides rare exposure to a full‑stack view of security along with direct access to expert knowledge, unique datasets, and cross‑domain experience. Your contributions will materially raise the security of products used by billions and strengthen Apple’s ability to defend against adversaries. Can you make a difference on this scale? Join our extraordinary group of security researchers, tool developers, and machine learning experts, and help protect all Apple users.

Minimum Qualifications

• Expertise in ML, especially large language models and generative modeling
• Experience with and/or strong enthusiasm for security, especially offensive security
• Fluency with software engineering using languages such as C, C++, Python, Swift, Objective‑C, Rust
• Collaborative and effective problem‑solving and analytical skills

Preferred Qualifications

• Familiarity with software‑analysis techniques such as fuzzing, static analysis, code‑analysis tooling, reverse engineering, binary‑analysis
• Familiarity with security mitigations in modern operating systems

At Apple, we’re not all the same. And that’s our greatest strength. We draw on the differences in who we are, what we’ve experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.

Salary: EUR 43200 - 72000 per year