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Apple AIML - Machine Learning Engineer ML Effciency Platform & Technologies United States, California 206219033
Today
Do you want to shape the platform that enables the next generation of intelligent experi-ences 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, artifi-cial intelligence, and computer vision applications. As a team, we have a variety of technicalbackgrounds, 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 ofdistributed machine learning workloads. This is a highly collaborative role and you will beworking with key partners across the company.
We are seeking highly motivated and experienced engineers to join our team. The ideal can-didate will have a deep understanding of machine learning systems and cloud computinginfrastructure. Key responsibilities in this role are:• Engage with ML researchers to optimize end-to-end performance of large scale dis-tributed ML workloads• Analyze workload metrics to identify sources of inefficiencies and work with users tounderstand and optimize ML workloads• Conduct workload analysis based on benchmarking key workloads on deployed sys-tems• Improve large scale training resiliency by optimizing applications and frameworks forimproved recovery from failures and preemptions• Influence architecture, design, development, and operations of next generation MLaccelerator systems based on workload insights
- Experience working with large scale parallel and distributed accelerator-based sys-
- tems
- • 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
- Apple Confidential
- Programming and software design skills (proficiency in C/C++ and/or Python)
- Experience working in a high-level collaborative environment and promoting a team-
- work mentality
- Bachelor's degree in Computer Science and 3+ 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 accelera-
- tors
- Advanced degree in CS
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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