北京内推 | 高通中国研究院AI Research团队招聘ML/AI System实习生
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高通公司
General Summary
Artificial Intelligence is changing the world for the benefit of human beings and societies. AI is moving from cloud to the edge devices. Qualcomm, as the world's leading mobile computing platform provider, is committed to enable the wide deployment of intelligent solutions on all possible devices. As a Machine Learning/AI Engineering Intern you will be involved and participate in building best-in-class solutions and tools needed to enable state-of-the-art technologies for next generation mobile/embedded machine learning platforms for smart phones, autonomous vehicles, robotics and IOT devices. In this role, you will work in a dynamic research environment, be part of a multi-disciplinary team of researchers and software developers, collaborate with internal teams, work with popular neural network frameworks, and understand the architecture of Qualcomm’s SOC compute and ML HW accelerators. You will design, develop & test software for machine learning tools and frameworks that enable making models smaller and run efficiently on all edge devices.
Minimum Qualifications
1. MACHINE LEARNING/AI SOFTWARE (Position SW)
- Programing in C++ and Python
- Experience in machine learning algorithms and architectures, including CNNs, RNN/LSTMs, Transformer, LVM, LLM
- Hands-on experience with ML frameworks, such as TensorFlow or PyTorch
- Previous experience working on machine learning data pipelines and data management back end or front end applications
- Neural network, computer programming, video processing, image processing, app dev
Mathematical operations: linear algebra, fast math libraries
2. MACHINE LEARNING/AI SYSTEMS (Position SIT)
- Programming in Python
- Machine learning theory / optimization methods, deep learning, model compression / quantization / optimization
- Reinforcement Learning, Neural Architecture Search / kernel optimization, Bayesian Optimization
- Deep neural networks (CNN, RNN, Attention, Transformer)
- Audio and speech / NLP (e.g., BERT) / computer vision / wireless communication/ Wireless Domain ML
- Proficiency in designing, implementing and training DL/RL algorithms in high-level Languages/frameworks (e.g. PyTorch, TensorFlow, Caffe, Keras).
投递方式
邮件标题和简历标明:姓名-岗位名称-AI求职
实习内推
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高校招生
香港中文大学宋永健老师|西蒙菲莎大学陈武阳老师|宁波东方理工大学沈晓宇老师|香港科技大学冯雁教授|香港科技大学(广州)李昊昂老师|鹏城实验室童倩倩老师|悉尼大学Hesham El Gamal教授|麦考瑞大学AIoT课题组|加州大学河滨分校董悦老师|西交利物浦大学颜宏盛副教授|北京大学张文涛教授|清华大学未来实验室人居组|波士顿学院Prof. Donglai Wei|华盛顿大学计算机系王晟老师|香港科技大学(广州)骆昱宇老师|伊利诺伊大学香槟分校张欢老师|西湖大学机器智能实验室|新加坡国立大学尤洋老师课题组|清华大学信息国家研究中心|香港理工大学Boris NG教授|香港科技大学(广州)张延林老师|香港科技大学(广州)谢思泓教授|北京大学王乐业老师|伊利诺伊大学香槟分校张潼教授|香港科技大学(广州)孙莹老师|伊利诺伊理工大学王韧老师|香港中文大学(深圳)濮实老师|新加坡管理大学何盛烽副教授|香港科技大学(广州)赵航老师|南方科技大学视觉郑锋老师
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