Machine Learning Engineer

<Responsibilities>

1. Develop and implement machine learning algorithms and collaborated with cross-function teams, including product, backend teams, and domain experts to optimize clinical and diagnosis workflow.

2. Deploy machine learning algorithms to aetherAI products, including the web-based platform and edge devices.

3. Engage in medical imaging research using machine learning techniques with physicians and teams to solve real-world problems.

<Minimum Qualifications>

1. Experience in machine learning, data mining, statistical modeling, and software design.

2. Fluent in Python programming, including general packages such as NumPy, and deep learning frameworks such as TensorFlow / PyTorch.

3. Familiarity with Linux/Unix environments, Docker, and Git.

4. Good communication and presentation skills.

<Preferred Qualifications>
1. Bachelor's degree or Master’s degree in Computer science, Statistics, Medicine, or other related fields.
2. Experience programming in C and C++.
3. Experience in conducting experiments in various settings of datasets and model hyperparameters, and comparing the performance of experiment results.
4. Familiar with good practice of coding to deliver high-quality code in readable and maintainable.
5. Have excellent publication records.
6. Be cooperative, open-minded, and self-motivated.