Senior Machine Learning Engineer -

As a Machine Learning Engineer, you will develop and ship models that power real-time perception and intelligence in complex, diverse environments. You'll work end-to-end: problem definition, data and evaluation design, model development, optimization for efficiency, and integration into production stacks. Your job will be to push the state-of-the-art in computer vision and machine learning and bring it to life in Apple products.

Do you have experience in Python?, Do you have a Doctoral degree?, Strong software engineering skills and familiarity with developing code in larger codebases Publication record at top conferences such as CVPR, ECCV, ICCV, NeurIPS, SIGGRAPH, etc Experience in technical leadership, Ph.D. in Computer Vision or Machine Learning or 4+ years of experience working in the field Strong foundations in machine learning / deep learning and computer vision Hands-on experience with modern multimodal or generative systems (LLMs/MLLMs/VLMs, diffusion, transformers, etc.) Proficiency in Python and PyTorch / JAX Demonstrated track record through publications, patents, and/or shipping relevant features Proven ability to prototype quickly and deliver high-quality and well tested solutions Clear communication in English and ability to collaborate in a cross-functional environment Proficiency in English

At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion for problem-solving and dedication to your job, and there's no telling what you could accomplish. We advance the state of the art to improve the lives of our customers worldwide. The Video Computer Vision (VCV) team is dedicated to fundamental and applied research in computer vision and machine learning. We are seeking a machine learning engineer who is passionate about shaping the future of Apple products and excited to contribute to the next wave of transformative computer vision experiences., At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.