Machine Learning Research Engineer, Siri Comprehension & Planning, Siri Agent Modeling

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$147,400–$272,100 / yr
Posted
56 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $222k
This role $210k
$132k most similar roles pay here $287k

This role pays less than 58% of similar roles. Most pay $198,800–$246,150 — the shaded band above. At the midpoint, this role pays about $210k versus about $222k 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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · Machine Learning Research Engineer, Siri Comprehension & Planning, Siri Agent Modeling

As a Senior Machine Learning Research Engineer on Apple's Siri team, you will tackle the cutting-edge challenge of developing and deploying large language models (LLMs) that are both powerful and efficient enough to run seamlessly on millions of devices. Your responsibilities include architecting and fine-tuning LLMs for assistant behavior, optimizing model performance within hardware constraints, curating high-quality data pipelines, and collaborating with cross-functional teams to integrate these advancements into a cohesive system. You will work with Python and deep learning frameworks like PyTorch, Jax, or TensorFlow, leveraging your expertise in natural language processing and agentic AI to push the boundaries of on-device intelligence. This role demands a strong background in machine learning research and elite software engineering skills, as you will be at the forefront of shaping the future of personal computing through innovative solutions that balance privacy, efficiency, and user experience.

What you'll do

  • Design and train large language models tailored for on-device assistant behavior.
  • Optimize LLMs for performance within the constraints of mobile devices.
  • Develop data curation, augmentation, and evaluation pipelines for model training.
  • Collaborate on system architecture to integrate ML models with software and hardware.
  • Implement novel context and adapter strategies to enhance model efficiency.

What we're looking for

  • Extensive experience shipping LLM-based products.
  • Proficient Python engineering skills and deep understanding of PyTorch, Jax, or TensorFlow.
  • Strong track record in machine learning research or thorough knowledge of current ML advancements.
  • Master’s or PhD in Computer Science, Machine Learning Engineering, or equivalent industry experience.
  • Expertise in Natural Language Processing techniques and small language models.
  • Experience with agentic AI systems.

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