Multimodal LLMs Research Engineer

Sunnyvale, CA, US • Posted 18 hours ago • Updated 5 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Large Language Models (LLMs)
  • Computer Vision
  • Ideation
  • Training
  • Reasoning
  • Evaluation
  • Research
  • Science
  • Publications
  • Patents
  • Python
  • PyTorch
  • JAX
  • Artificial Intelligence
  • Leadership
  • Shipping
  • SAP MM

Summary

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. \\n\\nOur 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. \\n\\nA 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 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.

Ph.D. with relevant research background, or Master of Science and a minimum of 2 years of relevant industry experience\nDemonstrated track record through publications, patents, and/or shipping relevant features\nStrong Python programming experience\nStrong PyTorch and/or JAX programming experience\nAbility 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, etc.\nTechnical leadership experience - guiding technical efforts across diverse teams/individuals.\nExperience in shipping MM-LLMs in products.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: 5013fe7f8cf8339a19899d80236de180
  • Posted 18 hours ago
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