Sr. Machine Learning Engineer - ML Efficiency, ML Platform & Technology
About The Position
Do you want to shape the platform that enables the next generation of intelligent experiences on Apple products & services? In Apple’s Machine Learning Platform Technology & Infra team we have built the platform that Apple uses for developing machine learning, artificial intelligence, and computer vision applications. As a team, we have a variety of technical backgrounds, from machine learning PhDs to builders of large-scale production systems. Specifically in this role you will be working on optimizing end-to-end system performance of distributed machine learning workloads. This is a highly collaborative role and you will be working with key partners across the company. We are seeking highly motivated and experienced engineers to join our team. The ideal candidate will have a deep understanding of machine learning systems and cloud computing infrastructure.
Requirements
- Experience working with large scale parallel and distributed accelerator-based systems
- Experience optimizing performance and AI workloads at scale
- Experience developing code in one or more of training frameworks (such as PyTorch, TensorFlow or JAX)
- Strong communicator with ability to analyze complex and ambiguous problems
- Programming and software design skills (proficiency in C/C++ and/or Python)
- Experience working in a high-level collaborative environment and promoting a teamwork mentality
- Bachelor's degree in Computer Science and 7+ years of work experience
Nice To Haves
- Deep understanding of computer systems and the interactions between HW and SW
- Experience in performance analysis and optimization experience in Cloud accelerators
- Advanced degree in CS
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
