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Sr. Machine Learning Engineer - ML Efficiency, ML Platform & Technology
full-time•Santa Clara
About this role
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.
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
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
Description
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.
Minimum Qualifications
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
Preferred Qualifications
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
What you'll do
- The role involves optimizing end-to-end system performance of distributed machine learning workloads. It requires collaboration with key partners across the company.
About Apple
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own.
Apple is an equal opportunity employer that is committed to inclusion and diversity. Visit apple.com/careers to learn more.
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Frequently Asked Questions
What does a Sr. Machine Learning Engineer - ML Efficiency, ML Platform & Technology do at Apple?
As a Sr. Machine Learning Engineer - ML Efficiency, ML Platform & Technology at Apple, you will: the role involves optimizing end-to-end system performance of distributed machine learning workloads. It requires collaboration with key partners across the company..
Is the Sr. Machine Learning Engineer - ML Efficiency, ML Platform & Technology position at Apple remote?
The Sr. Machine Learning Engineer - ML Efficiency, ML Platform & Technology position at Apple is based in Santa Clara, California, United States. Contact the company through Clera for specific work arrangement details.
How do I apply for the Sr. Machine Learning Engineer - ML Efficiency, ML Platform & Technology position at Apple?
You can apply for the Sr. Machine Learning Engineer - ML Efficiency, ML Platform & Technology position at Appledirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.