Senior Machine Learning Scientist, Imaging

What you'll do

• Design and optimize high-throughput imaging experiments and workflows with biologists.
• Develop and deploy computer vision and machine-learning methods to analyze microscopy datasets; benchmark and calibrate the tools.
• Build robust image-analysis workflows with software engineers and communicate findings to cross-functional stakeholders.

What they ask for

• Ph.D. in computer vision, machine learning, computer science, or a related discipline, or equivalent practical experience (e.g., a Master's degree and 2+ years of relevant industry experience).
• Strong Python programming skills, including working with TB-scale image datasets.
• Experience developing computer vision models using modern deep learning frameworks such as PyTorch, TensorFlow, or Keras.
• Extensive hands-on experience with microscopy data or similar biomedical or physical imaging modalities.

Nice to have

• Team software development, industry experience, or substantial open-source involvement.
• Experience with video or imaging time-series datasets, microscopy hardware or image acquisition, optical physics, cloud services, SQL, or relevant publications.

Pay

$215,000 - $235,000 USD base salary

Tools

Python, PyTorch, TensorFlow, Keras, AWS, Azure, SQL

AI focus

Applies machine learning and computer vision to microscopy data, including segmentation, feature extraction, and representation learning, to uncover disease mechanisms and phenotypes for drug discovery.