Sr Research Manager, Multimodal Reasoning - SIML

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $198,300–$342,800 / 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 $271k

$154k most similar roles pay here $363k

This role pays more than 86% of similar roles. Most pay $198,800–$249,750 — the shaded band above. At the midpoint, this role pays about $271k 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 LLMs and a proven track record of translating research into customer-facing products. Fluency in state-of-the-art multimodal reasoning techniques and familiarity with large-scale modeling and data infrastructure are essential.

Skills

Python PyTorch TensorFlow Docker Kubernetes AWS CI/CD PostgreSQL MongoDB Git Jupyter Notebook Prometheus Grafana LLM Prompt Optimization Automatic Evaluation Distributed Training Large Scale Modeling Data Infrastructure

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 effectively.
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 automatic evaluations.
Expertise in distributed training and inference for large-scale 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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