Senior Research Manager, Multimodal Reasoning - SIML

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $198,300–$342,800 / yr
Posted: 50 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $214k

This role $271k

$157k most similar roles pay here $363k

This role pays more than 86% of similar roles. Most pay $177,250–$249,750 — the shaded band above. At the midpoint, this role pays about $271k versus about $214k 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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · Senior Research Manager, Multimodal Reasoning - SIML

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The System Intelligence and Machine Learning (SIML) Content Understanding team at Apple is seeking a Senior Research Manager specializing in multimodal reasoning. This role involves leading cross-functional teams on company-wide initiatives, focusing on advancing AI capabilities through cutting-edge research in areas like personalized RAG workstreams and context compaction systems. The ideal candidate will have expertise in algorithm development, state-of-the-art LLM workflows, and distributed training, with a strong background in machine learning fundamentals and generative modeling. Proficiency in PyTorch is essential, along with experience in leading applied research efforts that transition to customer-facing products. This position offers the opportunity to collaborate with top-tier engineers on large-scale data infrastructure and prototype innovative algorithms for emerging agentic experiences.

Skills

Python PyTorch Reinforcement_Learning Multimodal_Training Pre_training_Foundation_Models Distributed_Training Large_Scale_Data_Infrastructure CI/CD

What you'll do

Lead the development of advanced multimodal reasoning algorithms for Apple Intelligence.
Set up and manage future-oriented research projects in multimodal LLM workflows.
Collaborate with system engineers to prototype innovative algorithmic solutions.
Interface with large-scale modeling and data infrastructure for efficient research.
Publish or contribute to open-source projects showcasing research advancements.

What we're looking for

PhD or MSc in Computer Science/Electrical Engineering with a focus on machine learning.
Strong expertise in ML, generative modeling, and one area: RL, multimodal training, pre/post-training models.
Proficiency in PyTorch and other ML toolkits.
Proven research contributions through publications in top-tier conferences or open source.
Experience leading applied research efforts in Multimodal-LLMs.
Track record of transitioning research to customer-facing experiences.

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