JobCubby JobCubby
Sign up
Apple

Machine Learning Engineer

Apple Cupertino, California, United States

Computers and Electronics Manufacturing · 10,001+ employees

8 h ago
machine-learning Senior (5-10 yrs) Full-time United States
Create a free account to apply — email only, no card. You can also save this posting or score it against your profile with AI.

Applying here? Try the free cover letter tool — paste this posting and your résumé, no account needed.

About the role

Develop end-to-end machine learning systems to address complex physics modeling challenges for hardware innovation. Optimize performance kernels and design advanced agentic systems while documenting findings to influence project roadmaps.

What they look for

Machine Learning Python C++ Algorithm Development Kernel Optimization Agentic Systems Physics Modeling Numerical Methods CUDA Metal Computational Fluid Dynamics Electromagnetics Benchmarking Model Deployment

Requirements

Requires a strong background in machine learning algorithms and proficiency in Python and C++ development. Candidates must hold a B.S., M.S., or Ph.D. in Computer Science, Electrical Engineering, or a related field.

Full description

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.

Description

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.

Minimum Qualifications

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.

Preferred Qualifications

Proficiency in CUDA or Metal programming. Strong background in numerical methods and physics (ME, EM, CFD, etc).

Similar roles