Sr Research Manager, Multimodal Reasoning - SIML

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$188,200–$325,500 / yr
Posted
1 day ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $224k
This role $257k
$156k most similar roles pay here $344k

This role pays more than 80% of similar roles. Most pay $198,800–$249,750 — the shaded band above. At the midpoint, this role pays about $257k versus about $224k 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 1816 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1473 roles with salary data.

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At a glance

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

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The System Intelligence and Machine Learning (SIML) Content Understanding team is seeking a Senior Research Manager specializing in multimodal reasoning. This role involves leading cross-functional teams on company-wide efforts, setting up future-facing research investigations, and developing advanced algorithms for multimodal large language models (LLMs). Day-to-day responsibilities include optimizing prompts, conducting post-training alignment, automating evaluations, and managing distributed training and inference processes. The ideal candidate will have extensive experience in applied research with a focus on multimodal LLMs and a proven track record of translating research initiatives into customer-facing products. Fluency in state-of-the-art LLM workflows and proficiency with large-scale modeling and data infrastructure are essential skills for this position.

Skills

Python PyTorch TensorFlow Docker Kubernetes AWS CI/CD PostgreSQL MongoDB Git Jupyter Notebook Scikit-learn Pandas NumPy LLM Prompt Optimization Automatic Evaluation Distributed Training Large Scale Modeling

What you'll do

  • Develop and refine multimodal reasoning algorithms for advanced AI systems.
  • Set up and manage future-oriented research projects in multimodal LLMs.
  • Lead cross-functional teams on company-wide AI research initiatives.
  • Optimize prompts, train models, and conduct automatic evaluations for LLMs.
  • Interface with large-scale modeling and data infrastructure to enhance efficiency.
  • Transition applied research findings into practical customer-facing applications.

What we're looking for

  • Extensive experience in leading applied research in multimodal large language models.
  • Proficiency in developing and optimizing prompts, conducting post-training alignment, and performing automatic evaluations.
  • Expertise in distributed training and inference techniques for machine learning models.
  • Strong background in setting up future-oriented research initiatives and leading cross-functional teams.
  • Ability to interface with large-scale modeling and data infrastructure effectively.

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