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
55 days ago
Nearby
99+ roles within 25 mi

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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

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As a Senior Machine Learning Research Engineer on Apple's Siri team, you will play a pivotal role in advancing the state-of-the-art in on-device language models, working at the intersection of cutting-edge research and product development. Your responsibilities include architecting and training large language models tailored for assistant functionalities, optimizing these models to ensure they are both efficient and intelligent within the constraints of mobile devices, curating high-quality data sets that drive model performance, and collaborating with cross-functional teams to integrate your work into a cohesive system architecture. This role demands expertise in Python, deep learning frameworks like PyTorch or TensorFlow, and a strong background in machine learning research, with an emphasis on natural language processing and agentic AI capabilities.

Skills

Python PyTorch Jax TensorFlow LLMs Natural-Language-Processing Agentic-AI Deep-Learning Data-Curation Model-Optimization Cross-Functional-Team-Work System-Architecture Performance-Tuning

What you'll do

  • Design and train large language models tailored for assistant functionalities on devices.
  • Optimize models for performance, ensuring they are efficient within device constraints.
  • Develop data curation and augmentation pipelines to enhance model quality and effectiveness.
  • Collaborate on system architecture to integrate ML models with software and product teams.
  • Implement novel context and adapter strategies to improve model intelligence and speed.

What we're looking for

  • Experience in shipping large language model (LLM) based products.
  • Proficient Python engineering skills and expertise in deep learning frameworks like PyTorch, Jax, or TensorFlow.
  • Strong track record in machine learning research or extensive knowledge of current state-of-the-art techniques.
  • Expertise in natural language processing (NLP).
  • Experience with small language models and agentic AI.

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