Multimodal LLMs Research Engineer

Apple Inc

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Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$150,400–$277,600 / yr
Posted
2 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $229k
This role $214k
$135k $293k
below market most similar roles pay here above market

This role pays less than 51% of similar roles. Most pay $202,725–$254,750 — the blue band above. At the midpoint, this role pays about $214k versus about $229k 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 3544 open roles on FindRole.

Listed pay typically runs $166,600–$277,600 across 2734 roles with salary data.

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At a glance

TL;DR · Multimodal LLMs Research Engineer

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The Multimodal LLMs Research Engineer joins a centralized applied research and engineering group focused on developing 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 data and infrastructure requirements for robust model evaluation. Key responsibilities include driving research projects on agentic AI, reasoning, and large-scale model evaluation. The position requires proficiency in Python, PyTorch, and JAX, along with the ability to use AI code development tools. You will apply your expertise to solve complex problems in multimodal inputs and large language models to create pioneering experiences across various products.

Skills

Multimodal LLMs Python PyTorch JAX Computer Vision Machine Learning Model Training Fine-tuning Agentic AI Model Evaluation Data Definition Machine Perception Research CVPR ICCV ECCV NeurIPS ICML ICLR

What you'll do

  • Develop, implement, and enhance multimodal foundation models from scratch.
  • Train and fine-tune multimodal large language models to optimize performance.
  • Define data and infrastructure requirements for robust model evaluation.
  • Execute large-scale model evaluations to validate design developments.
  • Research and apply advancements in agentic AI, reasoning, and computer vision.
  • Publish research papers and patents to impact the broader AI community.
  • Ship multimodal LLMs as features in consumer products.

What we're looking for

  • BS and 3+ 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.
  • Ph.D. with relevant research background or M.S. with relevant industry experience (preferred).
  • Strong publication record in relevant venues such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, etc. (preferred).
  • Technical leadership experience guiding technical efforts across diverse teams/individuals (preferred).
  • Experience in shipping MM-LLMs in products (preferred).

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