QA Engineer - Generative AI, Support Apps

Global technology company that designs, develops, and sells consumer electronics, software, and services.
$112,900 - $234,700
Machine Learning
Mid-Level Software Engineer
In-Person
3+ years of experience
AI · Enterprise SaaS

Description For QA Engineer - Generative AI, Support Apps

Join Apple's AppleCare Digital team as a QA Engineer specializing in Generative AI initiatives. This role offers an exciting opportunity to shape the future of customer support through advanced AI technology. You'll be working with cutting-edge generative AI solutions, focusing on improving customer experience and issue resolution.

The position combines technical expertise in AI/ML systems with quality assurance best practices. You'll be responsible for designing and implementing comprehensive testing strategies for generative AI solutions, ensuring functionality, performance, and accuracy. Working within the AppleCare Digital platform, you'll collaborate with cross-functional teams including data scientists and ML engineers to define testing requirements and identify potential risks.

Key aspects of the role include developing automated test suites for AI/ML pipelines, validating solutions for bias and ethical compliance, and ensuring the highest standards of quality in AI-driven customer interactions. The position offers competitive compensation ranging from $112,900 to $234,700, along with comprehensive benefits including medical coverage, stock options, and educational support.

Apple's innovative culture provides an environment where your contributions can have immediate impact. You'll be at the forefront of applying generative AI technology to enhance customer support experiences, working with state-of-the-art tools and frameworks. The role requires a unique blend of technical expertise in QA engineering and AI/ML systems, combined with strong analytical and problem-solving skills.

As part of Apple's commitment to excellence, you'll have access to cutting-edge resources and the opportunity to work with some of the industry's best talents. The position offers growth potential and the chance to influence the direction of AI-driven customer support solutions. If you're passionate about quality assurance, artificial intelligence, and creating exceptional customer experiences, this role offers an exciting opportunity to make a significant impact at one of the world's most innovative technology companies.

Last updated a day 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
  • 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

Benefits For QA Engineer - Generative AI, Support Apps

Medical Insurance
Dental Insurance
Education Budget
Equity
Relocation Benefits
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Employee stock programs
  • Education reimbursement
  • Discretionary restricted stock unit awards
  • Employee Stock Purchase Plan
  • Discretionary bonuses
  • Relocation assistance
  • Product discounts
  • Free services

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