Multimodal Large Language Models Research Engineer
Apple
Multimodal Large Language Models Research Engineer
Apple
Designs phones, computers and their operating systems
We are actively seeking exceptional individuals who thrive in collaborative environments and are driven to push the boundaries of what is currently achievable with multimodal inputs and large language models. Our centralized applied research and engineering group is dedicated to developing cutting-edge Computer Vision and Machine Perception technologies across Apple products. We balance advanced research with product delivery, ensuring Apple quality and pioneering experiences. A successful candidate will possess deep expertise and hands-on experience across the full lifecycle of Multimodal LLM development, encompassing early ideation, data definition, model training, and fine-tuning.
B.S. and 7+ years of relevant industry experience Demonstrated track record through publications, patents, and/or shipping relevant features Strong Python programming experience Strong PyTorch and/or JAX programming experience Ability to effectively utilize AI code development tools to accelerate the development process
M.S. and 5+ years of relevant industry experience or Ph.D. and 3+ years of relevant industry experience Strong publication record in relevant venues, such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, etc. Technical leadership experience - guiding technical efforts across diverse teams/individuals. Experience in shipping MM-LLMs in products.
We are seeking a candidate with a proven track record—demonstrated through academic research, industry contributions, or a combination of both—in developing multimodal LLMs and advanced topics such as agentic AI, reasoning, and large-scale model evaluation. This role offers the opportunity to drive groundbreaking research projects, spanning foundational concepts to practical applications.
Model Design & Development: Developing, implementing, and enhancing multimodal foundation models. This encompasses training or fine-tuning MM-LLMs from scratch or leveraging existing technologies to optimize performance and capabilities. Model Evaluation: Collaborating closely with cross-functional partners to define data and infrastructure requirements crucial for robust evaluation of model designs and developments. Innovation & Dissemination: Staying at the forefront of advancements in AI, machine learning, and computer vision, and applying this knowledge to foster continuous innovation within the company. Depending on your research expertise and project scope, you will have the opportunity to publish papers and/or patents to positively impact the broader community.
Apple designs and sells consumer electronics, from iPhone smartphones and Mac computers to tablets and wearable devices. Its operating systems manage apps and built-in functions for communication and work, while iCloud stores files and synchronizes data across devices. Customers buy additional digital services through subscriptions such as Apple Music and Apple TV, and developers distribute software through the App Store. Apple earns money from hardware sales, subscriptions and digital transactions, selling directly to customers and through retailers and mobile carriers around the world. It was founded in 1976 and has its headquarters in Cupertino, California.
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