Apple - Cupertino, CA

posted 11 days ago

Full-time - Senior
Cupertino, CA
Computer and Electronic Product Manufacturing

About the position

The position is focused on optimizing and deploying large-scale machine learning models within Apple's Foundation Model Services team. This role involves collaborating with product teams to create production-grade solutions that serve millions of customers in real-time, while also mentoring engineers and developing tools to identify bottlenecks in inference across various hardware and use cases.

Responsibilities

  • Work closely with product teams to build production grade solutions to launch models serving millions of customers in real time.
  • Collaborate with the Foundation Model Research team to prototype and develop inference for cutting edge model architectures.
  • Build tools to understand bottlenecks in inference for different hardwares and use cases.
  • Mentor and guide engineers in the organization.

Requirements

  • 8+ years of experience leading and driving complex, ambiguous projects.
  • Strong industry background and experience in ML technologies (LLMs, Machine Learning, NLP, Information Retrieval, Statistics).
  • Rich experience with high throughput services particularly at supercomputing scale.
  • Proficient with running applications on Cloud (AWS / Azure or equivalent) using Kubernetes, Docker etc.
  • Proficient in building and maintaining systems written in modern languages (e.g., Golang, Python).

Nice-to-haves

  • Familiar with one of the popular ML Frameworks like Pytorch, Tensorflow.
  • Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models.
  • Familiarity with Nvidia TensorRT-LLM, vLLLM, DeepSpeed, Nvidia Triton Server etc.

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Reimbursement for certain educational expenses including tuition
  • Discretionary bonuses or commission payments
  • Relocation assistance
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