Multimodal LLMs Research Engineer

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. nnOur 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. nnA 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.

We are seeking a candidate with a proven track recorddemonstrated through academic research industry contributions or a combination of bothin 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 u0026 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 Evaluation: Collaborating closely with cross-functional partners to define data and infrastructure requirements crucial for robust evaluation of model designs and u0026 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.

Ph.D. with relevant research background or Master of Science and a minimum of 2 years of relevant industry experiencenDemonstrated track record through publications patents and/or shipping relevant featuresnStrong Python programming experiencenStrong PyTorch and/or JAX programming experiencenAbility to effectively utilize AI code development tools to accelerate the development process

Strong publication record in relevant venues such as CVPR ICCV ECCV NeurIPS ICML ICLR leadership experience - guiding technical efforts across diverse teams/ in shipping MM-LLMs in products.