Staff/Senior Machine Learning Engineer, Search & Knowledge Platform

Apple Inc

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $175,000–$308,500 / yr
Posted: 58 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $232k

This role $242k

$159k $325k

below market most similar roles pay here above market

This role pays more than 57% of similar roles. Most pay $208,462–$254,750 — the blue band above. At the midpoint, this role pays about $242k versus about $232k 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 · Staff/Senior Machine Learning Engineer, Search & Knowledge Platform

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JOB TITLE: Staff/Senior Machine Learning Engineer, Search & Knowledge Platform The Staff/Senior Machine Learning Engineer, Search & Knowledge Platform joins the Information Intelligence team to develop next-generation Search and Question Answering systems for products like Siri, Safari, and Spotlight. You will translate product requirements into modeling tasks, building fundamental blocks for query understanding, retrieval, and ranking. Your daily work involves training, fine-tuning, and deploying deep learning models at scale, utilizing techniques like RAG and reinforcement learning to process petabytes of structured and unstructured data. You will use PyTorch, TensorFlow, or JAX alongside programming languages including C++, Python, Scala, and Go. The role focuses on solving complex information-seeking needs by improving document retrieval, relevance ranking, and online inference optimization to provide accurate answers through sophisticated embeddings and natural language processing.

What does a Machine Learning Engineer earn in Washington?

Median $241750 from 69 postings across 15 companies.

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Skills

Python C++ Go Scala PyTorch TensorFlow JAX LLM RAG NLP Deep Learning Information Retrieval Reinforcement Learning Online Inference Distributed Systems Embeddings Question Answering

What you'll do

Translate product requirements into specific modeling and engineering tasks.
Analyze search ranking requirements and identify opportunities to improve relevance.
Build machine learning models for retrieval, relevance ranking, and query understanding.
Train and deploy deep learning models using PyTorch, TensorFlow, or JAX.
Fine-tune and train large language models (LLMs) and RAG systems at scale.
Develop online learning systems to react quickly to changing data and user intents.
Process petabytes of structured and unstructured data to provide accurate answers.
Optimize models for online inference and end-to-end quality evaluation.

What we're looking for

MS in Computer Science or related field.
10+ years of work experience in machine learning, deep learning, or a related field.
10+ years of experience shipping Search and Q&A technologies and ML systems.
Excellent programming skills in mainstream languages such as C++, Python, Scala, and Go.
Experience delivering tooling and frameworks to evaluate individual components and end-to-end quality.
Strong analytical skills to identify opportunities to improve search relevance and answer accuracy.
Strong written and verbal communication skills with the ability to articulate complex topics.
PhD in Computer Science, AI, Machine Learning, Information Retrieval, Data Science, or related field (preferred).