Software Development Engineer - Test, Graphics, Games & ML

Apple Inc

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $120,300–$210,100 / yr
Posted: 5 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $155k

This role $165k

$104k most similar roles pay here $222k

This role pays more than 63% of similar roles. Most pay $126,626–$184,150 — the shaded band above. At the midpoint, this role pays about $165k versus about $155k 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 1817 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 1482 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Software Development Engineer - Test, Graphics, Games & ML

Role Posting Log in to save

As a Software Development Engineer in Test at Apple’s On-Device Machine Learning team, you will join a dynamic cross-functional group focused on advancing the quality of machine learning technologies across hardware and software platforms. Your role involves crafting comprehensive test plans, automating validation processes, and maintaining CI/CD pipelines to ensure robustness and reliability. You will collaborate closely with research, engineering, and product teams to drive innovative solutions for measuring and enhancing the quality of Apple’s on-device intelligence features. Key skills include a deep understanding of QA practices, experience in machine learning frameworks like Keras, PyTorch, and TensorFlow, and the ability to balance creative problem-solving with meticulous technical analysis.

Skills

Python PyTorch TensorFlow Keras Scikit-learn CI/CD C++ Java JavaScript PostgreSQL MySQL Git Jenkins Docker AWS Azure Google Cloud Platform JUnit Selenium Appium

What you'll do

Define and measure the quality of on-device machine learning technologies.
Develop comprehensive manual and automated test plans for ML technologies.
Maintain CI/CD presubmission pipelines to ensure software quality.
Facilitate validation and qualification of on-device machine learning technologies.
Champion quality improvements throughout the development process.

What we're looking for

BS, MS degree or equivalent in a related field
2+ years of experience in software quality engineering
In-depth knowledge of QA practices and fundamentals
Experience with machine learning frameworks (Keras, PyTorch, TensorFlow)
Ability to develop comprehensive manual and automated test plans
Expertise in CI/CD presubmission pipelines maintenance
Passion for delivering high-quality user experiences through continuous improvement