QA Engineer - Generative AI, Support Apps

Apple is a global technology company that designs, manufactures, and sells consumer electronics, software, and services.
$112,900 - $234,700
Machine Learning
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI

Description For QA Engineer - Generative AI, Support Apps

Imagine what you could do here. At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. The AppleCare Digital team is seeking a QA Engineer to drive platform and product testing for generative AI initiatives in customer-facing support apps.

This role sits at the intersection of quality assurance and artificial intelligence, focusing on implementing and analyzing the performance of generative AI solutions to improve customer experience and increase issue resolution. The position requires a unique blend of technical expertise in QA engineering and deep understanding of AI/ML systems.

As a QA Engineer in the Generative AI Product operations team, you will be responsible for designing and implementing comprehensive testing strategies for AI solutions. This includes functional testing, performance evaluation, accuracy assessment, and production sampling. You'll work with cutting-edge AI technology to ensure feature quality and optimal customer experience.

Key responsibilities include collaborating with data scientists, ML engineers, and product teams to define testing requirements and identify potential risks. You'll develop and maintain automated test suites for AI/ML pipelines and APIs, validate data preprocessing pipelines, and ensure data quality for AI model training. A crucial aspect of the role involves validating AI generative solutions for bias, fairness, and ethical compliance.

The ideal candidate will bring strong analytical and problem-solving skills, coupled with hands-on experience in AI/ML testing and quality assurance. You should be passionate about customer experience and have demonstrated success in applying generative AI technology to end-customer interactions. The role demands process-oriented creative thinking and the ability to navigate through ambiguity.

At Apple, you'll be part of a team that's dedicated to pushing the boundaries of what's possible with AI while maintaining the highest standards of quality and reliability. You'll have the opportunity to work on projects that directly impact millions of customers while collaborating with some of the brightest minds in the industry.

Benefits include comprehensive medical and dental coverage, retirement benefits, stock purchase opportunities, education reimbursement, and the chance to work with cutting-edge technology at one of the world's most innovative companies. Join us in shaping the future of AI-driven customer support solutions at Apple.

Last updated 6 hours ago

Responsibilities For QA Engineer - Generative AI, Support Apps

  • Design and implement robust testing strategies for Generative AI solutions
  • Test functionality, performance, accuracy and production sampling
  • Collaborate with data scientists, ML engineers, and product teams
  • Define testing requirements and identify potential risks
  • Develop and maintain automated test suites for AI/ML pipelines and APIs
  • Test data preprocessing pipelines and ensure data quality for AI model training
  • Validate AI generative solutions for bias, fairness, and ethical compliance
  • Perform load, stress, and security testing on solutions

Requirements For QA Engineer - Generative AI, Support Apps

Python
Java
  • Bachelor's in Computer Science, Software Engineering or similar field of study
  • 3+ years of experience in QA engineering, with a focus on AI/ML systems
  • Strong programming skills in Python, Java, or another relevant language
  • Hands-on experience with testing frameworks like PyTest, Selenium, or JUnit
  • Familiarity with ML frameworks such as TensorFlow, PyTorch, or Hugging Face
  • Understanding of RESTful APIs and tools like Postman for API testing
  • Knowledge of CI/CD tools like Jenkins, GitHub Actions, or GitLab
  • Experience in validating Generative AI models (e.g., GPT, DALL-E)
  • Knowledge of NLP, computer vision, or multimodal models
  • Familiarity with synthetic data testing techniques
  • Experience in verifying training data integrity and bias detection
  • Familiarity with data annotation tools and quality control processes
  • Experience with prompt engineering and LLMs in a hands-on capacity
  • Experience leading projects and coordinating quality strategies across teams or functions

Benefits For QA Engineer - Generative AI, Support Apps

Medical Insurance
Dental Insurance
Vision Insurance
401k
Education Budget
Equity
Relocation Benefits
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Education reimbursement
  • Stock purchase plan
  • Restricted stock unit awards
  • Discretionary bonuses
  • Relocation assistance

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