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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.