As an ML scientist at E11 Bio, you will develop innovative and scalable methods to realize the potential of optical barcode connectomics. This role is ideal if you value exciting and important work in an environment with high camaraderie, trust, and autonomy. You will develop machine learning models to automate the processing of large microscopy volumes and deploy developed models in large cluster or cloud environments.
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We’re looking for a Senior Applied Researcher to join our Applied Machine Learning team and deliver new experiences and valuable insights to our coaches, athletes and fans across Hudl. You’ll drive game-changing initiatives that use cutting-edge computer vision and deep learning from cameras and wearable trackers at scale to shape the future of sports, from professional teams to local high schools.
Evaluate, adapt, and integrate pretrained computer‑vision models—such as Vision Transformers and vector‑quantized encoders—into Enchant’s existing modalities. Locate and curate clinical imaging datasets (radiology, pathology, microscopy, etc.) and set clear benchmarks for model performance. Build reliable data pipelines for large image collections, including ingestion, preprocessing, augmentation, and storage.