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Home›Jobs›Apple›Multimodal LLMs Research Engineer
Apple

About Apple

The personal technology company redefining user experience

🏢 Tech, Hardware👥 1001+ employees📅 Founded 1976📍 Cupertino, CA⭐ 4.2
B2CB2BHardwareSaaSTelecommunicationseCommerce

Key Highlights

  • Market cap of $3 trillion as of 2022
  • Over 1 billion active devices worldwide
  • Comprehensive medical plans including mental healthcare
  • Paid parental leave and gradual return-to-work program

Apple Inc. (NASDAQ: AAPL), headquartered in Cupertino, CA, is the world's most valuable company with a market capitalization of $3 trillion as of 2022. Known for its iconic products such as the iPhone, iPad, and Mac, Apple serves over 1 billion active devices globally. The company has a strong commi...

🎁 Benefits

Apple offers comprehensive medical plans covering physical and mental healthcare, paid parental leave, and a gradual return-to-work program. Employees...

🌟 Culture

Apple's culture emphasizes an obsessive focus on user experience and consumer privacy, setting it apart from competitors. The company promotes inclusi...

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Apple

Multimodal LLMs Research Engineer

Apple • Sunnyvale, California, United States

Posted 2w ago🏛️ On-SiteMid-LevelSeniorAi research engineer📍 Sunnyvale
Apply Now →

Skills & Technologies

Computer visionMachine learningLarge language modelsModel trainingFine-tuning

Job Description

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. 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.

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