Staff Machine Learning Infrastructure Engineer, ML Platform
4 weeks ago
About the Role
We are seeking a highly skilled Staff Machine Learning Infrastructure Engineer to join our ML Compute Team at Apple. As a key member of our team, you will be responsible for designing and delivering critical features to facilitate ML compute workloads.
Your Key Responsibilities
- Collaborate with teams across Apple on ML workloads such as training, inferencing, and fine-tuning.
- Drive the design and delivery of innovative solutions to facilitate ML compute workloads.
- Effectively communicate complex features and systems in detail.
- Understand industry and company-wide trends to help assess and develop new technologies.
- Code using Go and Python.
- Conduct code reviews.
- Help onboard new team members and provide mentorship.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 7+ years of hands-on experience in building scalable backend systems for training and evaluation of machine learning/deep learning models.
- Proficient in relevant programming languages, such as Python or Go.
- Strong expertise in distributed systems, reliability, and scalability, containerization, and cloud platforms.
- Proficient in cloud computing and data processing infrastructure and tools, including Kubernetes and PySpark.
- Ability to clearly and concisely communicate technical and architectural problems.
About Apple
At Apple, we believe that great work comes from people who are passionate about what they do. We're committed to inclusion and diversity, and we're an equal opportunity employer. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or other legally protected characteristics.
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Santa Clara, California, United States Apple Full timeRole SummaryAt Apple, we're committed to creating innovative products and services that make a difference in people's lives. As a Staff Engineer on our ML Compute Team, you'll play a critical role in designing and delivering cutting-edge machine learning infrastructure that powers our products and services.Your Key Responsibilities Collaborate with...
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