Machine Learning Engineer, Intelligent Quality Systems

Apple Inc

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Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $150,400–$277,600 / yr
Posted: 12 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 $222k

This role $214k

$135k $293k

below market most similar roles pay here above market

This role pays more than 51% of similar roles. Most pay $197,687–$247,115 — the blue band above. At the midpoint, this role pays about $214k versus about $222k 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, Intelligent Quality Systems

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The Machine Learning Engineer - Intelligent Quality Systems joins a team of applied ML and software engineers building systems to improve software quality. You will design and build ML-powered systems that transform software testing by intelligently selecting relevant tests, triaging failures to root causes, and validating UI and audio experiences. Day-to-day responsibilities include prototyping algorithmic approaches for change-impact prediction, implementing LLM-powered failure analysis, and designing data collection and evaluation strategies. You will work with large-scale test results and code change data to surface patterns. Required skills include machine learning fundamentals, model training, and production-quality software engineering. Preferred experience includes NLP, large language models, retrieval-augmented generation, computer vision, multimodal ML, and building data pipelines for structured or semi-structured data like logs and code diffs.

What does a Machine Learning Engineer earn in California?

Median $235750 from 200 postings across 34 companies.

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Skills

Machine Learning LLMs Computer Vision NLP Retrieval-Augmented Generation (RAG) Data Pipelines ML Infrastructure CI/CD Data Analysis Multimodal ML Model Training Evaluation Strategies

What you'll do

Implement ML solutions for test selection, failure triage, visual validation, and coverage analysis.
Rapidly prototype multiple algorithmic approaches to identify the most promising technical directions.
Design and implement data collection, labeling, and evaluation strategies for training ML systems.
Analyze large-scale test results and code change data to surface patterns for modeling.
Identify research-to-production gaps and technical risks in proposed ML solutions.
Build reliable ML systems capable of operating across a large-scale software engineering organization.

What we're looking for

BS or MS in Computer Science, Machine Learning, Statistics, or a related field.
3+ years of experience with machine learning in academic or professional settings with demonstrated work on substantial projects.
Strong programming and software engineering skills with the ability to write clean, maintainable, production-quality code.
Practical understanding of ML fundamentals, model training, evaluation, and debugging to implement algorithms from papers or specifications.
Experience with NLP, large language models, code understanding, or retrieval-augmented generation (RAG) (preferred).
Background in computer vision or multimodal ML (preferred).
Experience building or maintaining data pipelines and ML infrastructure at scale (preferred).
Familiarity with software testing, CI/CD systems, or developer tooling (preferred).

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