Job Description
- Experience level: Mid
- Tech stack used: Python, PyTorch, AWS
- Primary skills we consider: Python, PyTorch, Tensorflow
- Secondary skills we consider: AWS, Sklearn
- Compensation: Competitive
- Employment type: Permanent & Full time
- Visa sponsorship: Available
About you
You are an ambitious and capable machine learning scientist, with direct experience developing novel approaches to computer vision problems. You have a strong research background, either in an academic or industrial lab. You are conversant with the relevant branches of mathematical statistics. You care about impact and want to do work that matters.
List of main duties and responsibilities:
- Applying computer vision techniques to measure biomarkers
- Conducting research and authoring academic papers
- Contributing to our research strategy
- Keeping up to date with relevant research
Requirements:
- Strong understanding of Computer Vision modeling techniques
- Demonstrable experience developing novel Computer Vision models
- Phd in relevant quantitative subject (statistics, mathematical engineering, etc)
- Good communication and data visualization skills
- Experience with core Python data science packages (numpy, pandas, sklearn)
- Experience with at least one deep learning framework (PyTorch or TensorFlow)
Desirable:
- Publications at top ML conferences/journals
- PhD in computer vision
- Previous experience in the biomedical sector
- Familiarity with git, bash and coding best practices.
- Familiarity with cloud infrastructure (AWS EC2, S3, Batch)