Summer Internship: Software Engineering, Apple Media Products

Summary Posted: May 9, 2024 Role Number: 200550487 Apple Media Products implements and deploys media services at scale, such as Apple TV+, or Apple Music. Expanding these services to new platforms and users means using a variety of media content protection mechanisms, existing or custom made. To have a complete security posture, these mechanisms must cover Prevention, Detection, and Response to security threats and fraud. In this project, you will have the challenge of improving fraud detection mechanisms used to identify and fight content piracy in Apple Media Services. Based in Paris, we are passionate about security, and work with a variety of cross-functional teams across Apple, worldwide. Key Qualifications Key Qualifications To work together, we all speak English and you'll need to be fluent too, but speaking French is not required for this role. Knowledge of Machine Learning algorithms (supervised/unsupervised learning, classifiers, clustering, or anomaly detection) Knowledge of Machine Learning frameworks (such as sklearn, Keras, or TensorFlow) Knowledge of Data Processing frameworks (such as Spark, Flink, or Kafka) Knowledge of scripting and programming languages (including Python) Description Description Using machine learning algorithms, you'll investigate techniques that can improve the performance or accuracy of existing detections, save resources, uncover unknown fraud patterns, and ensure that our detection systems remain able to adapt to new threats and fraudulent behaviors. Among others, you'll first explore how autoencoders, clustering, or graph neural networks can be used for anomaly and fraud detection, then implement in practice how these can be trained, optimized, evaluated, and integrated in an existing detection infrastructure. You will work as part of an extraordinary team of security experts composed of reverse engineers, content protection experts, cryptographers, data scientists or developers, where we have the freedom to bring new ideas and design innovative solutions. Education & Experience Education & Experience Must be studying in a relevant field of software engineering/algorithms Additional Requirements Additional Requirements