mid Machine Learning Engineer ic · Posted Dec 18, 2025

At Apple, we don't just make products; we create magical experiences that have reshaped 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's possible. Join us, and you'll be part of a community dedicated to leaving the world better than we found it.

This position offers you an extraordinary opportunity to bring Apple's revolutionary products and astonishing technology to the world. You'll collaborate closely with our global teams to solve the most challenging issues by discovering the root causes of product problems. With access to unparalleled resources and a culture that nurtures creativity, you'll be empowered to redefine your limits and do the most transformative work of your life.
In this role, you will work in a lab environment, leveraging your engineering and scientific expertise, alongside cutting-edge equipment, to identify the root causes of failures in Apple products. You will also be responsible for recommending corrective actions and presenting your findings to global teams and executives.
<h3>Minimum Qualifications</h3>Ph.D. or Master degree in Computer Science, Electrical Engineering, Physics or a related field
Proficiency in Image processing and analysis, computer graphics, data processing algorithms, like NeRF, neural rendering, neural 3D reconstruction, volumetric reconstruction, imaging artifacts and correction
Proficiency in programming with Python and other languages
Solid understanding of machine learning or deep learning principles as applied to image and 3D data processing
Strong English communication skills, including the ability to seek direction, listen to feedback, and convey complex findings clearly and concisely
<h3>Preferred Qualifications</h3>Experience in the development of industrial/medical CT systems
Experienced in using X-Ray related tools such as X-Ray, CT, XRD, AXI, XRM etc.
Expertise in X-Ray related Image Processing and Analysis
Adaptability to a fast-paced environment and shifting 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

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