Multimodal LLMs Research Engineer

Apple Inc

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Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$216,200–$324,800 / yr
Posted
120 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $226k
This role $270k
$162k most similar roles pay here $342k

This role pays more than 86% of similar roles. Most pay $197,981–$254,750 — the shaded band above. At the midpoint, this role pays about $270k versus about $226k for comparable roles.

Based on 240 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Multimodal LLMs Research Engineer

The Multimodal LLMs Research Engineer joins the centralized applied research and engineering group to develop advanced Computer Vision and Machine Perception technologies. This role involves the full lifecycle of multimodal LLM development, including early ideation, data definition, model training, and fine-tuning. You will design, implement, and enhance multimodal foundation models while collaborating with cross-functional partners to define infrastructure requirements for robust evaluation. The work focuses on advanced topics such as agentic AI, reasoning, and large-scale model evaluation to solve complex problems in machine perception. Required skills include strong Python programming, along with PyTorch and JAX expertise. Candidates should be proficient in using AI code development tools to accelerate the process. This role provides opportunities to contribute to groundbreaking research projects, potentially resulting in published papers or patents within the field of artificial intelligence.

What you'll do

  • Develop, implement, and enhance multimodal foundation models from scratch or through fine-tuning.
  • Define data and infrastructure requirements for the robust evaluation of model designs.
  • Conduct large-scale evaluations of multimodal LLMs and advanced topics like agentic AI and reasoning.
  • Translate foundational research into practical applications across various Apple products.
  • Stay current on advancements in machine learning and computer vision to drive internal innovation.
  • Publish research papers or file patents to contribute to the broader AI community.
  • Utilize Python, PyTorch, or JAX to build and optimize model training pipelines.

What we're looking for

  • Ph.D. with relevant research background or a Master of Science with at least 7 years of relevant industry experience.
  • Proven track record in multimodal LLM development through publications, patents, or shipping features.
  • Strong Python programming experience.
  • Strong PyTorch and/or JAX programming experience.
  • Ability to utilize AI code development tools to accelerate the development process.
  • Experience with advanced topics such as agentic AI, reasoning, and large-scale model evaluation.
  • Preferred publication record in relevant venues like CVPR, ICCV, ECCV, NeurIPS, ICML, or ICLR.
  • Technical leadership experience guiding efforts across diverse teams and individuals.

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