Job Description

At Apple, we don't just build products; we create magical experiences that reshape entire industries. Our innovation is fueled by the diverse and brilliant minds that come together to dream bigger, think differently, and push the boundaries of what is possible. Join us, and become part of a community dedicated to leaving the world better than we found it.

This position offers an extraordinary opportunity to help bring Apple's groundbreaking technology to the world. Collaborating closely with our global teams, you will leverage machine learning and AI to find a solution to resolve the complex product challenges. Backed by unparalleled resources and a culture that champions creativity, you will be empowered to push your limits and do the most transformative work of your life.

In this role, you will work in a lab environment, lead the development and implementation of cutting-edge AI solutions across various domains, including computer vision, natural language processing, and software infrastructure, to revolutionize our failure analysis methodologies and lab operations with unprecedented efficiency. The ideal candidate will have a proven track record in using machine learning and AI to solve challenging problems.

Preferred Qualifications

Expertise in X-Ray/CT/MRI/SEM/OM related Image Processing and Analysis, Computer Graphics, data processing algorithms.
Adaptability to a fast-paced environment and the ability to shift work scopes to meet business needs, with a strong aptitude for learning new techniques.
Ability to prioritize and manage multiple high-priority tasks simultaneously.
Ability and collaborate closely across different organizations globally.

Minimum Qualifications

Ph.D. or master's degree in Software Engineering, Computer Science, AI&ML, or a related field.
Extensive experience in AI research, application and software development with multiple successful project deployments.
Proficiency in one or more programming languages such as Python, C++, Java, or Scala.
Demonstrated experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers).
Strong understanding and practical experience with software development tools and practices, including Git for version control, Docker for containerization, and CI/CD pipelines.
Strong English communication skills, including the ability to seek direction, listen to feedback, and convey complex findings clearly and concisely.