Multimodal LLMs Research Engineer

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Sunnyvale, CA
Salary: $150,400–$277,600 / yr
Posted: 127 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $226k

This role $214k

$135k most similar roles pay here $293k

This role pays more than 50% of similar roles. Most pay $197,981–$254,750 — the shaded band above. At the midpoint, this role pays about $214k versus about $226k for comparable roles.

Based on 240 similar postings.

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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

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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 large language model development, including early ideation, data definition, training, and fine-tuning. You will design and enhance multimodal foundation models, collaborate with cross-functional partners to define infrastructure for robust evaluation, and contribute to research in agentic AI, reasoning, and large-scale model evaluation. The position requires proficiency in Python, PyTorch, or JAX, along with the ability to utilize AI code development tools. Candidates should possess a background in machine learning and computer vision to solve complex problems related to multimodal inputs. You will work on both foundational concepts and practical applications while potentially publishing papers or patents to advance the field of artificial intelligence.

Skills

Multimodal LLMs Python PyTorch JAX Computer Vision Machine Learning Agentic AI Large Language Models Model Evaluation AI Code Development Tools

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, agentic AI, and reasoning capabilities.
Translate advanced research in computer vision and machine perception into practical product applications.
Stay current on AI advancements to drive continuous innovation within the company.
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

A Ph.D. with a relevant research background or a Master of Science with at least 2 years of relevant industry experience.
A 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.
A strong publication record in relevant venues like CVPR, ICCV, ECCV, NeurIPS, ICML, or ICLR.
Technical leadership experience guiding technical efforts across diverse teams and individuals.