Machine Learning Engineer (Computer Vision)

The Position
The Computational Biology & Translation team at Client leverages AI to enhance the design and execution of clinical trials. We are seeking an AI scientist / Machine Learning Engineer with passion to support AI/Client projects in computer vision, especially in microscopy imaging.

Responsibilities
- Work closely with AI and imaging scientists in machine learning work streams including but not limited to cell segmentation and classification from microscopy images.
- Work closely with Client and data engineers in end-to-end machine learning and data pipelines.

Qualifications:
- MS or PhD in a quantitative field (e.g. Computer Science, Computational Biology, Machine Learning, Statistics, Mathematics, Physics), preferably with a thesis on a computer vision-related topic.
- Previous industry experience in deep learning in image processing/computer vision, or previous deep learning experience in healthcare industry or research institutes.
- Demonstrated experience with Python and analysis of image-like data.
- Previous experience working with MicroProducts, acquiring or processing microscopy images.
- Excellent communication and collaboration skills.

Optional but preferred qualifications:
- Knowledge of classical image processing and/or computer vision.
- Experience with Python-based image processing and machine learning frameworks, such as OpenCV and PyTorch (Lightning).
- Familiarity with development tools for experiment tracking, dataset versioning, and model management in machine learning.
- Working knowledge of SQL, Bash and git.
- Familiarity with best software development practices and an understanding of basic data engineering concepts.
- Experience with using HPC resources and working in a cloud environment.
- An understanding of basic concepts in molecular biology, the drug development process, and biotech in general.