Research Intern - Deep Learning on Vision and Language
Palo Alto, California, United States
OPPO Research Center
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
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