Applied Machine Learning Engineer, Security Research

Apple Inc.; Paris; Sur place; EUR 50 000 - 90 000; Plein temps

Résumé du poste

Apple Inc. is seeking an Applied Machine Learning Engineer in Paris to redefine vulnerability research using advanced ML tools. You will automate security assessments and analyze vast datasets to identify vulnerabilities, significantly impacting millions of users through innovative technology.

Qualifications

• Solid foundation in ML with emphasis on generative technologies and language models.
• Expertise in frameworks like PyTorch or JAX.
• Experience with development using C, C++, Python, Swift, Objective-C.

Responsabilités

• Create advanced ML tools to automate security assessments.
• Analyze vast volumes of logs for vulnerabilities.
• Collaborate with vulnerability research and ML teams.

Connaissances

Problem-solving

Analytical skills

Machine Learning

Generative technologies

Language models

Outils

PyTorch

JAX

C

C++

Python

Swift

Objective-C

Description du poste

Applied Machine Learning Engineer, Security Research

Paris, Ile-de-France, France Machine Learning and AI

Description

Join our team and help redefine the landscape of vulnerability research on Apple platforms by harnessing cutting-edge language models and generative technologies. In this highly innovative domain, you will create advanced ML tools that automate security assessments—making a massive impact across a global user base.A key part of your work will involve sifting through enormous volumes of system and application logs, hunting for that “needle in the haystack”: subtle anomalies and indicators of potential vulnerabilities hidden within petabytes of data. By applying large language models (LLMs) to complex codebases, you’ll identify weaknesses and generate sophisticated test suites to probe them. You’ll collaborate with dedicated vulnerability research teams and ML experts. Experience with reinforcement learning is a significant plus. Join us to push the boundaries of ML-driven security and fortify the digital experience for millions of users worldwide

Minimum Qualifications

• Solid foundation in ML with special emphasis on generative technologies and language models. Experience in training and fine tuning language models over structured, weakly structured or code-based datasets.
• Expertise in ML frameworks like PyTorch or JAX.
• Experience with tool development, using programming languages such as C, C++, Python, Swift, Objective-C.
• Creative & effective problem-solving and analytical skills.

Preferred Qualifications

• Ability to comprehend, interpret, and apply ground breaking research into products
• Familiarity with prompt engineering, reinforcement learning, chain-of-thought approaches