Machine Learning Engineer, Apple Search & Knowledge Platforms

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$139,500–$258,100 / yr
Posted
3 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $224k
This role $199k
$124k most similar roles pay here $288k

This role pays less than 69% of similar roles. Most pay $198,800–$249,750 — the shaded band above. At the midpoint, this role pays about $199k 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 1833 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 1493 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineer, Apple Search & Knowledge Platforms

As a Senior Machine Learning Engineer on Apple’s Knowledge Quality Team, you will contribute to the development of next-generation machine learning solutions for Siri and Spotlight, working within one of the most advanced high-performance computing environments. Your responsibilities include designing and developing state-of-the-art Gen AI components at scale, managing large datasets, and implementing machine-learning systems over graph data. You will leverage mainstream programming languages like Python, Scala, and Go, alongside frameworks such as PyTorch and TensorFlow, to enhance knowledge extraction from semi-structured and unstructured data feeds. This role demands expertise in NLP, experience with Apache software stack tools like Spark for handling large datasets, and a passion for building innovative products that improve user search experiences on a global scale.

What you'll do

  • Design and develop state-of-the-art Gen AI components to power question answering for Siri.
  • Build features for a platform that manages large-scale data and machine-learning systems over graph data.
  • Extract knowledge from semi-structured and unstructured data feeds to enhance search capabilities.
  • Work with petabytes of data and millions of queries per second in a high-performance computing environment.
  • Develop and optimize machine learning models using frameworks like PyTorch and TensorFlow.
  • Collaborate on large-scale data management systems, ideally using the Apache software stack.

What we're looking for

  • Expert programming skills in Python, Scala, and Go.
  • Extensive experience with ML frameworks like PyTorch and TensorFlow.
  • Proficient in NLP and large language models.
  • Experience managing large datasets using Apache software stack (e.g., Spark).
  • Strong problem-solving and analytical abilities.
  • PhD or Graduate degree in CS, AI, ML, IR, Data Science or related field.
  • Familiarity with RAG-based generative AI and transformer architecture.

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