Multimodal LLMs Research Engineer
Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Oct 23, 2026. Apple scores A on the Alion truth index.
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.
Description
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.
Minimum Qualifications
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
Preferred Qualifications
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.