Machine Learning Research Engineer, Generative AI Cupertino, California, United States | Software and Services

Interested in learning more about this job Scroll down and find out what skills, experience and educational qualifications are needed. Description As a member of the team, you will be responsible for bringing innovative ideas and applying modern machine learning methods to solve meaningful problems. You will participate in the full development cycle of core technologies, including handwriting and text recognition, handwriting synthesis, document understanding, and freeform drawing recognition and generation. The ideal candidate should have experience in computer vision, speech recognition, deep learning, 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 programming, debugging, and design skills. Preferred Qualifications Knowledge of programming languages such as C++, C, Objective-C, or Swift. Experience with ML frameworks like PyTorch, TensorFlow, or JAX. Proficiency with Unix, iOS, or macOS development. Strong problem-solving, critical thinking, and interpersonal skills. Ability to develop creative and innovative solutions for challenging problems. Enthusiasm for building end-to-end experiences using machine learning. Effective communication skills and ability to navigate ambiguity. This role offers a base pay range between $147,400 and $272,100, depending on skills, qualifications, experience, and location. Apple also provides additional benefits including stock programs, medical and dental coverage, retirement plans, educational reimbursement, and more. Note: Benefits are subject to eligibility and other terms. Apple is an equal opportunity employer committed to inclusion and diversity. We promote equal opportunity regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other protected characteristics.

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