Research Intern - Deep Learning on Vision and Language

Palo Alto, California, United States

Applications have closed

OPPO US AI Lab is seeking self-motivated Deep Learning Research Interns to support the AI team in deep learning projects and contribute to new technology development in the area of vision-language model and lightweight model development. The candidate will strengthen their existing machine learning skills by working hands on solving a real-world problem and also getting insights into how an industry R&D center operates.

Duties and responsibilities

  • Research and evaluate state-of-the-art AI algorithms prototypes for projects.
  • Build state-of-the-art solutions by designing algorithms and carrying out experiments.


Requirements

Qualifications

Minimum Qualifications: 


  • Strong technical background. You are currently pursuing an MS or Ph.D. and have hands-on experience in designing and implementing deep neural network.
  • Strong background in deep learning algorithms and their optimizations.
  • Hands on. Familiarity with common deep learning frameworks such as PyTorch and Tensorflow

Preferred Qualifications:

Experience in either of the following research areas is preferred.

  • Multimodal intelligence, fusing vision and language capabilities.
  • Lightweight mobile model development (e.g., model knowledge distillation, quantization, pruning, …, and etc)
  • Experience on implementing deep learning algorithms on mobile and edge devices, and familiar with mobile deep learning frameworks such as PyTorch Mobile / TensorFlow Lite / ONNX runtime.

Tags: Deep Learning Machine Learning ML models ONNX PyTorch R R&D Research TensorFlow

Region: North America
Country: United States

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