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Apple Applied Machine Learning Engineer Security Research France, Ile-de-France 209526807
Yesterday
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
- 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.
- Ability to comprehend, interpret, and apply ground breaking research into products
- Familiarity with prompt engineering, reinforcement learning, chain-of-thought approaches
- Experience in software engineering
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