Machine Learning Engineer, Search & Knowledge Platforms

Apple Inc

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$150,400–$277,600 / yr
Posted
79 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $233k
This role $214k
$132k most similar roles pay here $327k

This role pays less than 65% of similar roles. Most pay $211,612–$254,750 — the shaded band above. At the midpoint, this role pays about $214k versus about $233k 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

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

Role Posting Log in to save

As a Machine Learning Engineer, Apple Search & Knowledge Platforms, you will join the Knowledge Quality team to develop next-generation machine learning solutions for Knowledge Q&A. You will build state-of-the-art Gen AI components at scale to power question answering for Siri and Spotlight. Your daily work involves designing and developing features for a platform involving large-scale data management, machine-learning systems over graph data, and knowledge extraction from semi-structured and unstructured data feeds. To succeed in this role, you must possess excellent programming skills in Python, Scala, or Go, along with experience in PyTorch or TensorFlow. You will utilize your expertise in NLP, Large Language Models, transformer architecture, and RAG based Generative AI. Additionally, you will manage large datasets and pipelines using the Apache software stack, specifically Spark, to solve complex information retrieval problems.

What does a Machine Learning Engineer earn in California?

Median $246394 from 172 postings across 28 companies.

See salary data

Skills

Python Scala Go PyTorch TensorFlow NLP Large Language Models Spark RAG Transformer Architecture Machine Learning Systems Graph Data Information Retrieval

What you'll do

  • Build state-of-the-art Generative AI components at scale to power Siri's question answering features.
  • Design and develop machine learning systems that operate over complex graph data.
  • Perform knowledge extraction from both semi-structured and unstructured data feeds.
  • Manage large-scale data pipelines using the Apache software stack, such as Spark.
  • Develop high-performance machine learning solutions for Knowledge Q&A in Siri and Spotlight.
  • Implement NLP and Large Language Model technologies to improve search and information retrieval.
  • Build scalable systems capable of handling petabytes of data and millions of queries per second.

What we're looking for

  • Excellent programming skills in mainstream languages such as Python, Scala, and Go.
  • Prior experience with Machine Learning Frameworks like PyTorch and TensorFlow.
  • Working experience with Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Experience working with large data sets and pipelines, ideally using the Apache software stack like Spark.
  • Broad knowledge of computer science and systems with the ability to learn new domains quickly.
  • Excellent problem-solving, analytical, and interpersonal skills.
  • A PhD or Graduate degree in Computer Science, AI, Machine Learning, Information Retrieval, Data Science, or a related field.
  • Experience in NLP including RAG based Generative AI and transformer architecture.

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