Machine Learning Engineer

Listed as a remote role based in Paris, Île-de-France, France. About The Company Apple Inc. is a global leader in technology, renowned for its innovative products and services that enhance the way people live, work, and communicate. Headquartered in Cupertino, California, Apple designs, manufactures, and markets consumer electronics, computer software, and online services. With a commitment to excellence, user privacy, and security, Apple continuously pushes the boundaries of technological innovation. Its ecosystem includes flagship products such as the iPhone, iPad, Mac, Apple Watch, and Apple TV, along with a suite of services like iCloud, Apple Music, and the App Store. Apple’s dedication to creating seamless, secure, and accessible experiences for users worldwide has established it as a trusted name in the industry. About The Role We are seeking a highly skilled Applied Machine Learning Engineer to join Apple's Security Engineering & Architecture organization in Paris, Ile-de-France. This pivotal role focuses on enhancing the security of all Apple products through advanced machine learning techniques. The ideal candidate will be responsible for developing and implementing innovative ML models to identify and exploit vulnerabilities across Apple's platforms. You will work at the intersection of security and machine learning, leveraging unique datasets, cutting-edge tools, and cross-disciplinary expertise to strengthen defenses against sophisticated adversaries. This position offers a rare opportunity to influence the security architecture of products used by over a billion users globally, contributing to the safety and privacy of Apple’s ecosystem. Qualifications Solid understanding of machine learning algorithms including supervised, unsupervised, and reinforcement learning, along with evaluation methods Hands-on experience with agentic frameworks such as LangChain, LlamaIndex, or AutoGen for building multi-step, tool-augmented agent workflows Familiarity with MLOps practices, including model versioning, CI/CD pipelines, and experiment tracking tools like MLflow or similar Strong software engineering skills in programming languages such as Python, C, C++, Swift, and Objective-C Effective problem-solving, analytical thinking, and collaboration skills Preferred: Experience in scaling large language model (LLM) training and fine-tuning, including pretraining, supervised fine-tuning (SFT), and alignment techniques Preferred: Passion for security, especially offensive security techniques Preferred: Knowledge of software analysis techniques such as fuzzing, static analysis, reverse engineering, and binary analysis Responsibilities Design, develop, and deploy machine learning models tailored to security applications across Apple’s platforms Identify vulnerabilities and develop strategies to exploit and mitigate security threats using ML techniques Collaborate with cross-functional teams including security researchers, software engineers, and data scientists to integrate ML solutions into security workflows Implement and maintain MLOps pipelines for model training, validation, and deployment Analyze large datasets to uncover security patterns and anomalies Conduct research on emerging ML methods and security threats to continuously enhance detection capabilities Contribute to the development of automation tools and frameworks for security testing and vulnerability assessment Document and communicate findings, methodologies, and technical solutions effectively within the team and across departments Benefits Competitive salary and comprehensive health insurance plans Flexible working hours and options for remote work Generous paid time off and holiday leave Opportunities for professional development and continuous learning Access to cutting-edge technology and resources Inclusive and diverse workplace culture that values innovation and collaboration Support for work-life balance and employee well-being programs Equal Opportunity Apple is an equal opportunity employer committed to fostering an inclusive environment. We welcome applicants from all backgrounds, regardless of race, ethnicity, gender, age, sexual orientation, disability, or any other characteristic protected by law. We are dedicated to providing reasonable accommodations to ensure all candidates have equal access to employment opportunities. At Apple, diversity and inclusion are integral to our success, and we believe that a variety of perspectives drives innovation and excellence. Show more Show less Seniority level Associate Employment type Full-time Job function Information Technology Industries Technology, Information and Internet