Machine Learning Researcher, Multimodal Agent

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$175,000–$308,500 / yr
Posted
1 day ago
Freshness
Confirmed live yesterday

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $224k
This role $242k
$159k most similar roles pay here $325k

This role pays more than 60% of similar roles. Most pay $193,463–$254,750 — the shaded band above. At the midpoint, this role pays about $242k versus about $224k 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 2305 open roles on FindRole.

Listed pay typically runs $175,000–$280,000 across 1873 roles with salary data.

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At a glance

TL;DR · Machine Learning Researcher, Multimodal Agent

AIML - Machine Learning Researcher - Multimodal Agent joins the Multimodal Foundation Model Team to develop next-generation intelligent agent technologies. This role involves designing new architectures for multimodal agents, exploring advanced training paradigms, and building robust capabilities such as planning, grounding, tool-use, and autonomous task execution. You will develop state-of-the-art multimodal foundation models, fine-tune domain-specific models, and conduct applied research to transition generative AI into production-ready technologies. The work focuses on creating features for Apple Intelligence, including computer use agents, visual tool use, thinking with images, and multimodal web search. Candidates should possess expertise in machine learning, deep learning, computer vision, and natural language processing. Required technical skills include proficiency in Python, Go, Java, or C++, alongside strong data analytical abilities to translate product requirements into specific modeling and engineering tasks for information retrieval systems.

What you'll do

  • Develop state-of-the-art multimodal foundation models for Apple Intelligence features.
  • Build agent capabilities including computer use, visual tool use, and multimodal web search.
  • Fine-tune and evaluate domain-specific foundation models for various product applications.
  • Conduct applied research to transition generative AI innovations into production-ready technologies.
  • Translate product requirements into specific modeling tasks and engineering requirements.
  • Design new architectures for multimodal agents featuring planning and autonomous task execution.

What we're looking for

  • PhD, MS, or equivalent experience.
  • Experience in machine learning, deep learning, computer vision, or natural language processing.
  • Proficiency in Python, Go, Java, or C++.
  • Experience in multimodal LLM and agent training (preferred).
  • Excellent data analytical skills (preferred).
  • Good interpersonal skills and team player (preferred).
  • A PhD is preferred.

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