Machine Learning Research Engineer, Input Experience, Apple Intelligence

As a member of the team you will be responsible for bringing innovative ideas and applying modern machine learning methods to solve problems that matter. From ideation to productization, you will participate in the full development cycle of core technologies, including handwriting and text recognition, handwriting synthesis, document understanding, freeform drawing recognition and generation. The ideal candidate should have experience in computer vision, speech recognition, deep learning, and/or other applications of machine learning systems. Minimum Qualifications PhD or MSc in Computer Science, Computer Engineering or a closely related field. Industry experience in building product features based on ML including generative models or multimodal LLMs Experience with image processing, computer vision, speech recognition, or natural language processing Proven track record of programming, debugging, and design skill Preferred Qualifications Detailed knowledge of one or more of the following programming languages: C++, C, Objective-C, or Swift Experience with common ML toolchain such as PyTorch, TensorFlow, or JAX Proficiency with Unix, iOS, or macOS development Excellent problem solving, critical thinking, and interpersonal skills Ability to produce creative and innovative solutions to challenging problems Enthusiastic about building end-to-end experiences using machine learning High-quality communication skills and ability to work through ambiguity