Senior Research Manager, Multimodal Reasoning - SIML

Apple Inc

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $188,200–$325,500 / yr
Posted: 28 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $214k

This role $257k

$159k most similar roles pay here $343k

This role pays more than 81% of similar roles. Most pay $177,250–$249,750 — the shaded band above. At the midpoint, this role pays about $257k 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.

Most-posted roles

View all roles at Apple Inc

At a glance

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

Apply Now Log in to save

Join the System Intelligence and Machine Learning (SIML) Content Understanding team as a Senior Research Manager in Multimodal Reasoning, where you will lead cross-functional teams to advance Apple’s intelligence capabilities through cutting-edge research. Your day-to-day involves setting up future-facing investigations, optimizing large language model workflows, and collaborating with system engineers to integrate innovative algorithms into emerging agentic experiences. Essential skills include expertise in machine learning fundamentals, proficiency in PyTorch, and experience with multimodal training or reinforcement learning. Ideal candidates have a track record of transitioning research initiatives into customer-facing products and are familiar with distributed training and large-scale data infrastructure. This role is at the forefront of developing next-generation AI technologies that enhance user experiences on a global scale.

Skills

PyTorch LLM Reinforcement Learning Multimodal Training Pre-training Post-training Distributed Training Large-scale Data Infrastructure CI/CD Git Python TensorFlow Hugging Face Transformers CUDA NVIDIA GPUs Linux GitHub Jupyter Notebook

What you'll do

Lead the development of advanced multimodal reasoning algorithms and systems.
Set up and manage future-oriented research projects in multimodal reasoning.
Collaborate with hardware engineering teams to prototype new algorithmic innovations.
Interface with large-scale modeling and data infrastructure for efficient deployment.
Guide cross-functional teams on company-wide AI and machine learning initiatives.
Transition applied research into customer-facing experiences and products.

What we're looking for

PhD or MSc in Computer Science/Electrical Engineering with a focus on machine learning or equivalent professional experience.
Strong expertise in ML fundamentals, including generative modeling, reinforcement learning, multimodal training, or pre/post-training models.
Proficiency in PyTorch and other ML toolkits for algorithm development and computation.
Proven research contributions through publications in top-tier conferences or open-source projects.
Experience leading applied research efforts in multimodal large language models (LLMs).
Track record of transitioning research initiatives to customer-facing experiences.
Familiarity with distributed training and large-scale data infrastructure.

Save