Multimodal LLMs Research Engineer

Apple Inc

Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$147,400–$272,100 / yr
Posted
29 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $214k
This role $210k
$132k most similar roles pay here $287k

This role pays less than 57% of similar roles. Most pay $179,202–$249,750 — the shaded band above. At the midpoint, this role pays about $210k versus about $214k for comparable roles.

Based on 239 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · Multimodal LLMs Research Engineer

Join our centralized applied research and engineering group as a Multimodal LLMs Research Engineer, where you will work on cutting-edge Computer Vision and Machine Perception technologies for Apple products. This senior-level role involves designing, implementing, and enhancing multimodal foundation models, from early ideation to fine-tuning, while collaborating with cross-functional teams to ensure robust model evaluation. You will leverage Python, PyTorch, and JAX to develop innovative solutions, publish papers, and contribute to the broader AI community. Ideal candidates have a Ph.D. or equivalent industry experience, a strong publication record, and expertise in multimodal LLMs, agentic AI, reasoning, and large-scale model evaluation. This role offers the chance to drive impactful research projects that address complex business problems at scale.

What you'll do

  • Design and develop multimodal foundation models for large language systems.
  • Implement and optimize performance of multimodal large language models (MM-LLMs).
  • Define data and infrastructure requirements for robust model evaluation.
  • Stay updated with AI, machine learning, and computer vision advancements.
  • Publish papers or patents to contribute to the broader research community.

What we're looking for

  • Ph.D. with relevant research background or Master of Science and 2+ years of industry experience
  • Proven track record through publications, patents, and shipped features
  • Strong Python programming skills
  • Proficiency in PyTorch and/or JAX
  • Experience developing and evaluating multimodal large language models
  • Ability to collaborate on data and infrastructure requirements for model evaluation
  • Technical leadership and experience shipping MM-LLMs in products

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