Senior ML Researcher Multi-Modal Reasoning

Apple Inc

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Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$216,200–$324,800 / yr
Posted
2 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $235k
This role $270k
$168k most similar roles pay here $342k

This role pays more than 83% of similar roles. Most pay $214,000–$255,225 — the shaded band above. At the midpoint, this role pays about $270k versus about $235k 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 2305 open roles on FindRole.

Listed pay typically runs $175,000–$280,000 across 1873 roles with salary data.

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At a glance

TL;DR · Senior ML Researcher Multi-Modal Reasoning

As a Sr ML Researcher Multi-Modal Reasoning, you will join the Content Understanding team to advance Apple Intelligence capabilities through research and production-scale multimodal machine learning. You will be responsible for architecting and deploying models, prototyping and validating innovations, and leading cross-functional efforts in areas such as operating system wide embeddings, personalized RAG workstreams, tool calling, and memory systems. The role involves training and adapting large language models at the intersection of NLP and Vision to create agentic experiences. You will utilize Python and PyTorch while engaging with large-scale modeling and data infrastructure. Your work focuses on solving complex problems in generative models for creative workflows and smart assistants, specifically addressing technical challenges in context compaction, efficiency, and integrating cutting-edge algorithmic innovations into practical user interfaces.

What you'll do

  • Architect and deploy production-scale multimodal machine learning models.
  • Train and adapt large language models for downstream tasks and alignment.
  • Develop research and prototypes for agentic experiences and smart assistants.
  • Integrate advanced algorithmic innovations into system engineering frameworks.
  • Lead cross-functional efforts across modeling, prototyping, validation, and private learning.
  • Implement multi-modal capabilities at the intersection of NLP and vision.
  • Manage large-scale modeling and data infrastructure to support Apple Intelligence features.

What we're looking for

  • PhD with 5+ years experience or MS with equivalent experience in CS, EE, Math, Physics, or a related field.
  • Hands-on experience training LLMs and adapting pre-trained LLMs for downstream tasks and alignment.
  • Modeling experience at the intersection of NLP and Vision.
  • Proficiency in an ML toolkit such as PyTorch.
  • Strong programming skills in Python.
  • Proven track record of research contributions through publications in top-tier conferences or open source contributions to algorithms.
  • Experience with building and deploying Multimodal-LLMs (preferred).
  • Familiarity with distributed training and large-scale data infrastructure (preferred).

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