Multimodal LLMs Research Engineer

Apple Inc

Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$212,000–$318,400 / yr
Posted
22 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $214k
This role $265k
$154k most similar roles pay here $336k

This role pays more than 85% of similar roles. Most pay $179,202–$249,750 — the shaded band above. At the midpoint, this role pays about $265k 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

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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 through the entire development lifecycle, from ideation to fine-tuning. You will collaborate with cross-functional teams to define data and infrastructure requirements for robust model evaluation and contribute to innovation by publishing papers or patents. Essential skills include a Ph.D. in relevant fields or extensive industry experience, expertise in Python, PyTorch, and JAX, and a strong track record of publications or shipping features. Preferred candidates have technical leadership experience and a history of contributing to top-tier conferences like CVPR and NeurIPS.

Skills

Python PyTorch JAX CVPR ICCV ECCV NeurIPS ICML ICLR

What you'll do

  • Design and develop multimodal foundation models for large language tasks.
  • Implement and optimize multimodal LLM training from scratch or by enhancing existing technologies.
  • Define data and infrastructure requirements to robustly evaluate model designs and developments.
  • Stay updated with AI, machine learning, and computer vision advancements to drive innovation.
  • Publish papers and patents based on research expertise and project scope.

What we're looking for

  • Ph.D. with relevant research background or Master of Science and 7+ years of industry experience
  • Proven track record through publications, patents, and shipped features
  • Expertise in Python, PyTorch, and JAX programming
  • Experience in developing and evaluating multimodal foundation models
  • Ability to collaborate on data and infrastructure requirements for model evaluation

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