Machine Learning Engineer
Cornerstone Robotics Limited
- Company Industries：Industrial Machinery/Automation Equipment
Job Information
- Post Date：2022-05-16
- Location：Shatin Area
- Employment Type：Full Time, Permanent
- Job Function：Information Technology (IT) Software Development Others Student / Fresh Graduate / No Experienc
- Benefits：Dental insurance, Education allowance, Medical insurance, Performance bonus, Transportation allowance, Five-day work week
Job Description
Responsibilities
- Play a key role in the expanding of capabilities of the surgical robot platform.
- Apply state of the art machine learning and statistical analysis to develop models.
- Contribute to the highly motivated, passionate AI algorithm team to enable product intelligence
- Applications of image classification, object recognition, sematic segmentation, image super resolution
Qualifications
- Bachelor’s degree or above in Computer Science, Engineering, Mathematics, Physics, Statistics or relevant field.
- Experience in software development using C/C++/Python.
- Experience in computer vision algorithms and OpenCV is a plus.
- Experience in data processing engines such as Spark, python data analysis libraries such as TensorFlow, Pytorch, Keras, Pandas, Scikit‐Learn, etc.
- Familiar with the principles of deep neural network models such as CNN, RNN, LSTM
We offer attractive remuneration package to the right candidate. Interested parties please send your CV with expected salary and availability by clicking "Apply Now".
Company Info
Cornerstone Robotics is a fast-growing startup with R&D center in HK & SZ. We focus on robotics technology for healthcare with particular interests in rehabilitation, and surgery with
emphasis on both innovative research and development and practical clinical translation. The vision of the company is to increase the accessibility of high-quality medical treatment and services to patients.
We are a fast-paced and high-energy startup and you will receive opportunity to work with domain experts on cutting-edge technology and develop a high-quality medical product.
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