Senior Machine Learning Engineer

Apple Inc

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Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$184,700–$324,800 / yr
Posted
102 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $229k
This role $255k
$157k $343k
below market most similar roles pay here above market

This role pays more than 84% of similar roles. Most pay $202,800–$254,750 — the blue band above. At the midpoint, this role pays about $255k versus about $229k 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 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Senior Machine Learning Engineer

Sr. Machine Learning Engineer, Siri Global joins the Global Scaling, Data, and Tools team to advance the intelligence and capabilities of the world’s most popular intelligent assistant. This role involves designing, building, and deploying world-class machine learning systems to improve the accuracy, speed, and reliability of models across various languages and markets. You will work on the full engineering and machine learning stack, diagnosing user-facing issues and developing principled solutions for large-scale NLU systems. Key technologies include Large Language Models, NLP, and deep learning frameworks like TensorFlow, PyTorch, or CoreML, alongside programming languages such as Python, Java, C++, Objective-C, or Swift. The work focuses on solving complex technical problems to understand user intents and requests across a diverse range of personal devices and software.

What does a Machine Learning Engineer earn in California?

Median $235750 from 200 postings across 34 companies.

See salary data

What you'll do

  • Design, build, and deploy world-class machine learning systems to improve Siri's accuracy, speed, and reliability.
  • Develop and improve machine learning models, algorithms, and data platforms for global markets.
  • Diagnose user-facing issues across the full engineering and machine learning stack to develop principled solutions.
  • Implement Large Language Models (LLMs) and other foundation models into production features.
  • Develop software for both server-based and client-side (on-device) models using frameworks like PyTorch or CoreML.
  • Mentor and motivate other engineers to deliver high-quality features and technical advancements.
  • Communicate complex technical ideas and product metrics to research scientists, designers, and executive stakeholders.

What we're looking for

  • Master's or PhD degree in computer science, software engineering, machine learning, language technologies, or a related field.
  • Bachelor's degree with multiple years of significant engineering and product experience.
  • 10+ years of experience developing, shipping, and measuring industry-scale machine learning-based software systems.
  • Experience as a senior engineer, tech lead, or engineering manager for a machine learning-based product.
  • Expertise in Large Language Models (LLMs) or other foundation models, demonstrated through publications or shipping products.
  • Proficiency in at least one object-oriented language (Java, C++, Objective-C, or Swift), scripting languages, and deep learning frameworks.
  • Experience in data science and analytics, including data annotation, statistical analyses, and A/B testing (preferred).
  • Experience in the iOS development ecosystem, localization, internationalization, or machine translation (preferred).

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