Machine Learning Researcher, Multimodal Agent

Apple Inc

Confirmed live 3 days ago High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $184,700–$324,800 / yr
Posted: 46 days ago
Freshness: Confirmed live 3 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $227k

This role $255k

$157k $343k

below market most similar roles pay here above market

This role pays more than 81% of similar roles. Most pay $199,725–$254,750 — the blue band above. At the midpoint, this role pays about $255k versus about $227k 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 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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AIML - Machine Learning Researcher - Multimodal Agent joins the AIML Multimodal Foundation Model Team to develop next-generation intelligent agent technologies. The role involves designing new architectures for multimodal agents and building robust capabilities such as planning, grounding, tool-use, and autonomous task execution. Key responsibilities include developing state-of-the-art multimodal foundation models, fine-tuning domain-specific models, and conducting applied research to transition generative AI into production-ready technologies. The position requires expertise in machine learning, deep learning, computer vision, and multimodal large language models. Candidates must demonstrate proficiency in Python, Go, Java, or C++ to translate product requirements into modeling and engineering tasks. This work focuses on creating multimodal reasoning and visual understanding for search and information retrieval across various devices and cloud-based services.

Skills

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

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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