Senior Engineer, Machine Learning
Tasks
- Analyze multiomic data
- Analyze single cell data
- Apply image processing techniques
- Build ML pipelines
- Collaborate with biology and engineering teams
- Communicate results to stakeholders
- Deploy neural network models in production
- Design deep learning models
- Evaluate model performance
- Explore large scale imaging datasets
- Extract image features
- Identify model failure modes
- Ingest and preprocess data
- Maintain neural network models
- Optimize deep learning models
- Perform computer vision segmentation
- Score image quality
- Serve models on cloud infrastructure
- Stay current with deep learning research
- Train validate and infer models
Perks/Benefits
Skills/Tech-stack
AWS | Attention Mechanisms | Cell analysis | Computer Vision | Convolutional Neural Networks | Deep learning | Docker | Experimental Design | Feature extraction | GPU Computing | Image Processing | Image Segmentation | Machine Learning | Model Serving | Model calibration | Multiomic Data | Neural Networks | NumPy | OpenCV | Pandas | PyTorch | Scikit-learn | Single Cell Analysis | Single-cell | Statistical Analysis | U-Net | Uncertainty Quantification | Vision Transformers
Education
Regions
Countries
States
Cities
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