Machine Learning Engineer, Platform Architecture
Description For Machine Learning Engineer, Platform Architecture
Apple's Platform Architecture group is seeking a Machine Learning Engineer to join their team responsible for connecting hardware and software into a unified system. This role focuses on optimizing ML workloads for Apple silicon and developing performance models/simulations. You'll work with IP and SoC architecture teams, collaborating across Apple to design integrated solutions for machine learning applications. The position offers competitive compensation ($143,100-$264,200) and comprehensive benefits including stock options and educational support. You'll be at the forefront of developing Apple's renowned system-on-chip architecture, working with cutting-edge ML technologies and hardware accelerators. The role requires expertise in computer architecture, ML algorithms, and programming skills in C/C++/Python. You'll have the opportunity to influence future hardware designs and optimize performance for Apple's Neural Engine, GPU, and CPU platforms. This position combines technical depth in machine learning with hardware architecture expertise, making it ideal for those passionate about high-performance ML systems.
Responsibilities For Machine Learning Engineer, Platform Architecture
- Create optimized implementations of ML workloads on Apple silicon including Neural Engine, GPU and CPU
- Collaborate with IP and SoC architecture teams to develop performance models and simulations of future hardware
- Conduct performance studies to inform and validate architecture decisions
- Collaborate with system team to create high level performance models of emerging ML techniques
- Analyze system architecture trade-offs
Requirements For Machine Learning Engineer, Platform Architecture
- Bachelor's degree
- Ability to program in C/C++ and/or Python
- Knowledge of computer architecture fundamentals
- Domain knowledge in at least one hardware IP: ML HW accelerators or processing units
- MS or PhD in EE/CE/CS or related field, or 3+ years of relevant experience preferred
- Experience in efficient implementation of machine learning algorithms preferred
- Experience in creating system or IP performance models/simulations preferred
- Strong verbal and written communication skills
Benefits For Machine Learning Engineer, Platform Architecture
- Comprehensive medical and dental coverage
- Retirement benefits
- Employee stock programs
- Educational expense reimbursement
- Discretionary bonuses
- Relocation assistance
- Employee discount on products
- Free services
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