Junior Machine Learning/CV Engineer
| Company | Surgical Data Science Collective |
|---|---|
| Location | Washington, DC, USA |
| Salary | $80000 – $80000 |
| Type | Full-Time |
| Degrees | Master’s |
| Experience Level | Entry Level/New Grad, Junior |
Requirements
- Master’s in Computer Science, Electrical Engineering, or related-tech fields.
- Strong programming skills with experience using programming languages such as Python, C++, or MATLAB. Experience with OpenCV is required.
- Experience with machine learning frameworks and libraries such as Pytorch, TensorFlow, Keras.
- Experience with MLOps tools such as ClearML and wandb.
- Strong mathematical and algorithm design skills. Experience with image processing using CNN, RNN, LSTM, ViT and other deep learning neural network types.
- Strong understanding of software development process; experience with source control, bug tracking, and build management.
- Ability to work independently, self-starter, and manage projects from conception to deployment.
Responsibilities
- Conducting ML model QA on our Surgical Video Platform
- Supporting data curation for model development
- Working with large datasets, designing and implementing scripts for data pipelines
- Designing and developing innovative computer vision and machine learning algorithms specialized in surgical video analysis.
- Developing and implementing image processing techniques including feature extraction, segmentation, and tracking.
- Continuously researching new and emerging technologies and tools in computer vision and machine learning to enhance the product and service offering.
Preferred Qualifications
- Familiarity with healthcare and medical image analysis is a plus.