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Apple AIML - ML Engineer Machine Learning Platform & Infra United States, Washington, Seattle 651601604
Today
- Demonstrated experience in leading and driving complex, ambiguous projects.
- Experience with high throughput services particularly at supercomputing scale.
- Proficient in running applications on Cloud (AWS, Azure, or equivalent) using Kubernetes and Docker.
- Familiar with GPU programming concepts using CUDA and with popular machine learning frameworks like PyTorch or TensorFlow.
- Proficient in building and maintaining systems written in modern languages (e.g. Go, Python).
- Familiar with fundamental deep learning architectures such as Transformer models and encoder/decoder models.
- Familiar with NVIDIA TensorRT-LLM, vLLM, DeepSpeed, NVIDIA Triton Inference Server.
- Experience in writing custom CUDA kernels using CUDA or OpenAI Triton.
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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