Software Tools and Automation Engineer, AI/ML
Apple
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Job Description
Summary
Imagine what we could do together. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there’s no telling what we could accomplish! The Apple Services Engineering team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, Apple Books, Apple Sports and Apple Fitness. And we do it on a massive scale, meeting Apple’s high standard for quality and excellence, to deliver a huge variety of entertainment in over 50+ languages to more than 150 countries.
Description
The Apple Services Engineering AI/ML quality organization is looking for a Software Tools and Automation Engineer, AI/ML with a passion for building and validating quality systems at scale, with strong experience in leading multi-functional projects, developing test and automation strategies in a fast moving team. If you are looking for an opportunity to grow in a technical capacity by demonstrating your skills along with building up solid domain knowledge and automated testing strategies and systems around Apple's services offerings in the AI/ML space, we would love to talk to you! This role requires someone with a passion for quality engineering as well as solid software engineering skills, to deliver high quality services to Apple's customers. You possess the skill set to build out systems and frameworks and automated tools that can qualify a large variety of APIs which are dependent on a multitude of ecosystems. You excel at collaborating with multiple collaborators in the Quality, Engineering, Program Management and Product development disciplines, and have solid written and verbal communication skills. You should have strong experience with test automation and building frameworks that can run integration and end to end tests. You will be responsible for the following:
- Partnering with your peers in engineering and program management to develop test strategies prior to product kickoffs
- Developing and maintaining Client and API level automated tests for features as they are being implemented
- Work with multi-functional quality, engineering and product management teams to identify potential gaps in test coverage, and coordinate with them to plan for risk management
Minimum Qualifications
- BS or MS in Computer Science or related field or relevant industry experience.
- Passion for quality engineering and delivering large scale distributed systems
- Advocacy for a positive customer experience
- Proficiency in Java, Python or similar programming languages
- Experience with planning and execution of validating REST and gRPC APIs
- Creative problem solving with attention to detail
- Solid communication skills and ability to collaborate with multiple collaborators
- Highly organized, creative, self-motivated, and passionate about achieving results.
- Excited about the possibilities unlocked by AI and ML
Preferred Qualifications
- Knowledge of Big Data systems is a plus
- Experience with testing or working with AI and/or ML systems is a plus
Key skills/competency
- Quality Engineering
- Test Automation
- Software Development
- AI/ML Systems
- Distributed Systems
- API Testing (REST, gRPC)
- Java/Python
- Big Data
- Cross-functional Collaboration
- Test Strategy
How to Get Hired at Apple
- Research Apple's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your resume to highlight experience in quality engineering, AI/ML, and automation, using keywords from the Software Tools and Automation Engineer, AI/ML description.
- Showcase problem-solving skills: Prepare to discuss specific examples where you solved complex technical challenges, especially related to testing large-scale distributed systems.
- Understand Apple's services: Demonstrate familiarity with Apple's ecosystem (App Store, Apple Music, etc.) and how AI/ML enhances these offerings.
- Practice technical and behavioral interviews: Be ready to discuss programming proficiency in Java/Python, API testing (REST/gRPC), and collaborative project experience.
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