Senior Computer Vision and Machine Learning Engineer, Creator Studio

We are hiring a software engineer to work on a new initiative that will push the boundary of what's possible in the field of Generative AI. The ideal candidate will have deep knowledge in computational photography and multi-modal image editing. This position requires a self-motivated individual with excellent interpersonal skills to effectively collaborate with all levels of the organization. Incubate state-of-the-art machine learning algorithms and demonstrate their applicability to Apple's products Take ownership of the full lifecycle of machine learning models, from large distributed training and validation to efficient inference at scale Design data pipelines in partnership with collection, curation and evaluation teams to ensure suitable model inputs Communicate the latest research developments in image generation to help drive the long-term product roadmap Partner with cross-functional teams to bring experimental models and proof-of-concept features to next-generation products MS or PhD in Computer Science, Machine Learning or related field, and 5+ years of significant industry experience delivering products using state-of-the-art computational photography and machine learning technologies. Extensive knowledge in theory and practice of machine learning and deep learning techniques, particularly multimodal LLMs, Mixture of Experts, PEFT, RLHF. Experience delivering customer-facing products with computer vision, computational photography or generative AI features. Hands-on experience building, evaluating, and deploying vision LLMs or instruction-following image editing models. Experience contributing to large codebases while delivering high-quality software at scale. Strong programming skills in high-level languages like Python and one of the deep learning toolkits such as PyTorch, JAX, or TensorFlow. Ability to collaborate effectively across organizations and drive alignment in large cross-functional projects. Ability to concisely communicate with audiences of different backgrounds, from non-technical individuals to experts in the field. Committed to encouraging an open and inclusive work environment. Experience optimizing models and algorithms that run efficiently on resource-constrained platforms. Experience with flow matching and multi-modal conditioning for generative modeling. Knowledge of and keen interest in the art and science of photography and aesthetics. Publications at major conferences (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR).

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