Machine Learning Engineer, Apple Search & Knowledge Platforms

Apple Inc

Confirmed live today Trusted

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $142,300–$263,300 / yr
Posted: 125 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $234k

This role $203k

$123k $323k

below market most similar roles pay here above market

This role pays less than 79% of similar roles. Most pay $213,875–$254,750 — the blue band above. At the midpoint, this role pays about $203k versus about $234k 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.

Most-posted roles

View all roles at Apple Inc

At a glance

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

Role Posting Log in to save

The Machine Learning Engineer, Apple Search & Knowledge Platforms joins the Knowledge Quality team to develop next-generation machine learning solutions for Knowledge Q&A. This role involves building state-of-the-art Gen AI components at scale to power question answering for Siri. You will design and develop features for a platform involving large-scale data management, machine-learning systems over graph data, and knowledge extraction over semi-structured and unstructured data feeds. The position requires proficiency in Python, Scala, and Go, along with experience in PyTorch and Tensorflow. Candidates must possess working knowledge of NLP, Large Language Models, and RAG based Generative AI. You will also utilize the Apache software stack, specifically Spark, to manage large data sets and pipelines within a high performance computing environment.

What does a Machine Learning Engineer earn in Washington?

Median $241750 from 69 postings across 15 companies.

See salary data

Skills

Python Scala Go PyTorch TensorFlow NLP Large Language Models Spark RAG Transformer Architecture Gen AI Graph Data Information Retrieval

What you'll do

Build state-of-the-art Generative AI components at scale to power Siri's question answering.
Design and develop features for large-scale data management and machine-learning systems.
Implement machine-learning systems over complex graph data.
Perform knowledge extraction over semi-structured and unstructured data feeds.
Develop and maintain high-performance data pipelines using the Apache software stack.
Apply NLP and Large Language Model techniques to improve Knowledge Q&A features.
Engineer solutions to handle millions of queries per second across petabytes of data.

What we're looking for

Excellent programming skills in mainstream languages such as Python, Scala, and Go.
Prior experience with Machine Learning Frameworks such as PyTorch and Tensorflow.
Working experience with NLP and Large Language Models.
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 quickly learn new domains.
Excellent problem-solving, analytic, and interpersonal skills.
PhD or Graduate degree with research/work experience in Computer Science, AI, ML, Information Retrieval, Data Science, or related fields (preferred).
Experience in NLP including RAG based Generative AI and transformer architecture (preferred).