The point where experts and best companies meet
Apple Security Research Fraud Detection Data Scientist - Apple Media Products France, Ile-de-France 17501910
25.03.2025
Share
Description
Among others, you'll have to explore techniques to improve anomaly and fraud detection to reduce piracy, and apply AI-driven methodologies to assist source code or binary code analysis for vulnerability research and reverse engineering.You'll be responsible for all phases of the lifecycle of your projects, from initial feasibility studies, prototyping, and proof-of-concept development, to production-grade product/tooling implementation. You'll be responsible for finding the right approach and creating the tools needed to achieve your goals.If this is you, we'd love to hear from you.
Minimum Qualifications
- Knowledge of ML algorithms (supervised/unsupervised learning, classifiers, clustering, or anomaly detection) and frameworks (such as scikit-learn, Keras, or TensorFlow)
- Knowledge of Data Processing Pipeline components (such as Spark, Flink, or Kafka)
- Knowledge of scripting and programming languages (including Python)
- Experience with LLMs and building LLM applications
Preferred Qualifications
- Master’s or PhD in Computer Science, Information Security, or equivalent (e.g. Electronics, Physics, or Mathematics) or work experience.
- Experience in using AI/ML tools and techniques for Security (fraud detection, vulnerability research, penetration testing, or other)
- Familiarity with monitoring/reporting tools (such as Splunk or Superset)
- Knowledge of Media Content Protection mechanisms or DRM solutions
These jobs might be a good fit
