Machine Learning Engineer, Search & Knowledge Quality

Apple Inc

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Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $142,300–$263,300 / yr
Posted: 172 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 $228k

This role $203k

$126k $294k

below market most similar roles pay here above market

This role pays less than 70% of similar roles. Most pay $201,250–$254,750 — the blue band above. At the midpoint, this role pays about $203k versus about $228k 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 · Machine Learning Engineer, Search & Knowledge Quality

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The Machine Learning Engineer, Search & Knowledge Quality joins the Search and Knowledge Quality team to advance artificial intelligence for query understanding, information retrieval, and response ranking. In this role, you will have end-to-end ownership of features within the Siri Search system, from initial ideation through production deployment. You will design, develop, and implement machine learning models and RAG based agentic solutions for NLP and multimodal applications. Key responsibilities include integrating ML solutions into production workflows and collaborating with cross-functional teams to solve complex problems. Required technical skills include proficiency in Python, C/C++, and GoLand, along with experience using libraries such as TensorFlow, PyTorch, HuggingFace, AXLearn, and Scikit-learn. You will apply these tools to improve document ranking and generate high-quality answers.

What does a Machine Learning Engineer earn in Washington?

Median $241750 from 69 postings across 15 companies.

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Skills

LLM RAG NLP Python PyTorch TensorFlow HuggingFace Scikit-learn C++ CI/CD ML Pipelines Neural Network Optimization AXLearn

What you'll do

Design, develop, and implement machine learning models and RAG-based agentic solutions for NLP and multimodal applications.
Integrate and own machine learning solutions within production systems and existing workflows at scale.
Improve document ranking and generate high-quality answers using state-of-the-art LLM and ML techniques.
Take end-to-end ownership of features within the Siri Search system from ideation through production deployment.
Apply experimental rigor when training and evaluating LLMs to benchmark optimization algorithms.
Perform LLM fine-tuning and neural network optimization to improve query understanding and intent recognition.
Manage ML pipelines and CI/CD workflows to ensure seamless deployment of production models.

What we're looking for

BSc or Masters degree in Machine Learning, Data Science, Computer Science, Information Security, Mathematics, Statistics, or a related field.
Ph.D. in a related field (preferred).
3+ years of industry-related experience working in collaborative environments.
Programming skills in Python, C/C++, and GoLand.
Experience with ML libraries such as TensorFlow, PyTorch, HuggingFace, AXLearn, and Scikit-learn.
Experience integrating ML solutions into production systems, including CI/CD workflows and ML pipelines.
Experience with state-of-the-art ML methodologies including LLM fine-tuning, neural network optimization, and RL (preferred).
Experimental rigor when training and evaluating LLMs for benchmarking LLM optimization algorithms (preferred).

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