Machine Learning Researcher, Multimodal Agent

Apple Inc

Confirmed live 4 days ago High trust

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $175,000–$308,500 / yr
Posted: 46 days ago
Freshness: Confirmed live 4 days ago
Nearby: 99+ roles within 25 mi

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Competitive pay

How this pay compares to similar roles

Similar $228k

This role $242k

$159k $325k

below market most similar roles pay here above market

This role pays more than 60% of similar roles. Most pay $202,100–$254,750 — the blue band above. At the midpoint, this role pays about $242k versus about $228k 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 3535 open roles on FindRole.

Listed pay typically runs $166,600–$277,600 across 2738 roles with salary data.

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At a glance

TL;DR · Machine Learning Researcher, Multimodal Agent

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JOB TITLE: AIML - Machine Learning Researcher - Multimodal Agent The 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 and exploring advanced training paradigms to build 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. Key responsibilities include creating computer use agents, visual tool use, and multimodal web search. The role requires proficiency in Python, Go, Java, or C++ along with expertise in machine learning, deep learning, computer vision, and natural language processing. You will solve technical problems related to multimodal reasoning and visual understanding for search and information retrieval.

Skills

Machine Learning Deep Learning Computer Vision Natural Language Processing Multimodal LLMs Generative AI Python Go Java C++ Fine-tuning

What you'll do

Develop state-of-the-art multimodal foundation models for Apple Intelligence.
Build agent capabilities including computer use, visual tool use, and multimodal web search.
Fine-tune and evaluate domain-specific foundation models for various AI-powered products.
Conduct applied research to transition generative AI research into production-ready technologies.
Translate product requirements into specific modeling and engineering tasks.
Design new architectures for multimodal agents and explore advanced training paradigms.
Build robust agentic capabilities such as planning, grounding, 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.
Experience in applied machine learning and computer vision.
Excellent data analytical skills (preferred).
Good interpersonal skills and team player (preferred).

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