At Apple, we are constantly pushing the boundaries of what is possible, driven by our belief in the transformative power of new ideas. We are seeking a highly motivated and talented machine learning engineer to join our All-Scale Modeling team. You will work at the forefront of development, contributing to the creation of differentiating technologies for products that will delight and inspire millions of Apple customers.
Develop end-to-end ML systems to solve complex physics modeling problems for Apple hardware development and innovation.
Optimize kernels for performance and efficiency.
Design and implement advanced agentic system for complex tasks.
Document and share findings to influence roadmap decisions.
Opportunities to collaborate with world-class teams.
Design and schematic capture of prototype PCBs, and guiding those PCBs through layout. Component selection and evaluation.
Board bring-up, debugging, and validation.
Collaborate with firmware and software engineers to test and integrate your hardware.
Document your findings and present your work to the team and key stakeholders
Strong ML background in algorithms and engineering.
Proficiency in Python/C++ development.
Strong analytical and problem-solving skills.
Rich experience in deploying, experimenting, and benchmarking models.
B.S., M.S., or Ph.D. degree in Computer Science, Electrical Engineering, or a related field.
Proficiency in CUDA or Metal programming.
Strong background in numerical methods and physics (ME, EM, CFD, etc).
Job description provided by Apple.
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