Research Manager, Multimodal Reasoning

Apple Inc

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$225,600–$338,400 / yr
Posted
84 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $247k
This role $282k
$166k most similar roles pay here $357k

This role pays more than 77% of similar roles. Most pay $213,687–$281,300 — the shaded band above. At the midpoint, this role pays about $282k versus about $247k 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 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 · Research Manager, Multimodal Reasoning

Role Posting Log in to save

Research Manager, Multimodal Reasoning - SIML is a senior role within the System Intelligence and Machine Learning Content Understanding team. The manager will lead cross-functional teams to advance Apple Intelligence capabilities by focusing on multimodal reasoning, algorithm development, and computation. Day-to-day responsibilities include setting up forward-looking research investigations, managing high-performing machine learning teams of individual contributors, and prototyping bleeding-edge algorithmic innovations for emerging agentic experiences. The role requires expertise in state-of-the-art LLM workflows including prompt optimization, post-training, alignment, automatic evaluation, distributed training, and inference. Candidates must demonstrate proficiency with PyTorch and deep knowledge in areas such as Reinforcement Learning, Multimodal Training, or Pre-training/Post-training foundation models. The work involves collaborating with system engineers to integrate advanced research into products while navigating complex technical challenges like context compaction and memory systems.

Skills

LLM Multimodal Reasoning Generative Modeling PyTorch Reinforcement Learning RAG Distributed Training Prompt Optimization Post-training Alignment Data Infrastructure Machine Learning Algorithm Development

What you'll do

  • Lead cross-functional teams to advance multimodal reasoning and Apple Intelligence capabilities.
  • Develop algorithms and conduct research investigations into state-of-the-art LLM workflows.
  • Manage the full lifecycle of model development, including prompt optimization, post-training, and alignment.
  • Prototype and integrate cutting-edge algorithmic innovations into agentic experiences with system engineers.
  • Oversee large-scale modeling and data infrastructure for distributed training and inference.
  • Transition applied research initiatives into customer-facing products and features.
  • Manage and grow a high-performing team of machine learning individual contributors.

What we're looking for

  • PhD or MSc in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field with a focus on machine learning.
  • Comparable professional experience in lieu of a relevant advanced degree.
  • Strong fundamentals in Machine Learning and Generative Modeling.
  • 3+ years of experience leading and growing high-performing machine learning teams of individual contributors.
  • Expertise in Reinforcement Learning, Multimodal Training, or Pre-training/Post-training foundation models.
  • Proficiency in using ML toolkits such as PyTorch.
  • Proven track record of research contributions through publications in top-tier conferences or open source algorithm contributions.
  • Experience in leading applied research in Multimodal-LLMs and transitioning initiatives to customer-facing experiences.

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