AI/ML Tools and Automation Engineer

Apple Inc

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $134,800–$245,800 / yr
Posted: 29 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $203k

This role $190k

$121k most similar roles pay here $259k

This role pays less than 59% of similar roles. Most pay $162,000–$244,050 — the shaded band above. At the midpoint, this role pays about $190k versus about $203k 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 969 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 756 roles with salary data.

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At a glance

TL;DR · AI/ML Tools and Automation Engineer

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Join the Apple Services Engineering team as an AI/ML Tools and Automation Engineer, where you will play a pivotal role in defining and executing end-to-end test strategies for AI/ML-powered services. You will collaborate with multi-functional stakeholders to author comprehensive test plans, develop automated API tests, and maintain service-level validations across diverse ecosystems. Your responsibilities include designing scalable automation frameworks, applying AI tooling to enhance quality engineering rigor, and driving best practices in CI/CD processes. With a focus on Java or Python, you will ensure high-quality services by identifying edge cases and risk areas while mentoring junior team members. This role demands expertise in validating REST and gRPC APIs, creative problem-solving skills, and a passion for delivering large-scale distributed systems with AI and ML capabilities.

Skills

Python Java gRPC REST CI/CD API Automation Quality Engineering Mentorship Test Automation Framework Development AI ML Big Data Systems Continuous Testing Continuous Training SDLC Quality Metrics Coverage Analysis Pipeline Reliability

What you'll do

Define end-to-end test strategy for AI/ML services in partnership with stakeholders.
Author test plans and identify edge cases across distributed services and ML pipelines.
Develop and maintain automated API tests and validations for data and ML pipelines.
Design and evolve automation frameworks that scale across teams and product surfaces.
Apply AI tooling to build solutions advancing quality engineering rigor and productivity.
Drive best practices around continuous testing, fostering a culture of built-in quality.

What we're looking for

5+ years of software development and test automation experience, including leading complex projects.
Strong proficiency in Java or Python for developing and maintaining automated tests.
Experience planning and executing validation for REST and gRPC APIs in distributed systems.
Expertise in defining end-to-end test strategies and identifying edge cases for AI/ML services.
Ability to design and evolve scalable automation frameworks and tooling across teams.
Passionate about quality engineering, continuous testing, and fostering a culture of built-in quality.

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