Multimodal LLMs Research Engineer
- Location
- Sunnyvale · On-site
- Job type
- Full-time
- Level
- Lead / Staff
- Experience
- 7+ years
- Education
- Bachelor's degree
- Listed
- 14 days ago
Skills & highlights for this role
- Multimodal LLM development
- Python
- PyTorch or JAX
- Publications, patents, or shipped relevant features
- Use of AI code development tools
Also useful
- Agentic AI
- Reasoning
- Large-scale model evaluation
- Computer vision
- Publications at CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR
- Technical leadership
- Shipping MM-LLMs in products
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.
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.
About the role
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.
Responsibilities
- 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.
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.
From Apple's careers page, first listed on Rolev.ai on October 27, 2026. Rolev.ai is not the employer.
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Common questions
Where is the Multimodal LLMs Research Engineer job at Apple located?
This Multimodal LLMs Research Engineer position at Apple is located in Sunnyvale (On-site). Always check Apple's application page for specific state eligibility or relocation policies.
What qualifications are required for Multimodal LLMs Research Engineer at Apple?
For the Multimodal LLMs Research Engineer role, Apple highlights 7+ years of relevant experience; a bachelor's degree; experience with Multimodal LLM development, Python, PyTorch or JAX, Publications, patents, or shipped relevant features, Use of AI code development tools. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Multimodal LLMs Research Engineer position at Apple?
This listing links directly to Apple's application page. You can apply directly on Apple's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.