below marketmost similar roles pay hereabove market
This role pays less than
51%
of similar roles. Most pay
$161,272–$241,750
— the blue band above.
At the midpoint, this role pays about
$203k
versus about
$202k
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.
JOB TITLE: Machine Translation Quality Engineer
The Machine Translation Quality Engineer joins the Machine Translation team to own the test automation strategy for the Translate app and various client products. This role involves collaborating with product engineering and modeling teams to define functional and non-functional test plans while developing automation frameworks to validate releases. Key responsibilities include identifying software defects, analyzing test results, troubleshooting failures, and improving test automation coverage. The candidate must demonstrate proficiency in Swift, Java, or other object-oriented programming languages, along with experience in client-side and UI testing using technologies like XCTest or XCUITest. This position addresses the technical challenge of providing system-wide translation across iOS, iPadOS, macOS, and watchOS ecosystems, including full webpage translation in Safari and multi-language text translation.
Python
Bash
Swift
C
Objective-C
C++
Firmware Validation
Embedded Development
Robotic Automation
LLM
Regression Testing
System-level Debugging
Oscilloscopes
Logic Analyzers
Algorithm Validation
Test Automation
Machine Learning
LLMs
Computer Vision
NLP
Retrieval-Augmented Generation (RAG)
Data Pipelines
CI/CD
Multimodal ML
Data Analysis
Model Training
Evaluation Strategies
Machine Learning
LLMs
Computer Vision
NLP
Retrieval-Augmented Generation (RAG)
Data Pipelines
ML Infrastructure
CI/CD
Data Analysis
Multimodal ML
Model Training
Evaluation Strategies