Principal Machine Learning Scientist
Tasks
- Apply structure prediction and generative modeling methods
- Benchmark and evaluate model performance
- Communicate modeling insights to stakeholders
- Contribute to intellectual property and publications
- Define modeling and data strategy
- Design deep learning architectures for TCR pMHC specificity prediction
- Develop representation learning methods
- Extend protein language model approaches
- Incorporate emerging ML advances
- Integrate sequence and structural information
- Partner with computational biology and immunology teams
- Plan experimental data generation
- Support scalable training infrastructure
- Train and evaluate deep learning models
Perks/Benefits
Skills/Tech-stack
Deep learning | Experiment tracking | GPU | Generative Modeling | Language Models | Machine Learning | Protein Language Models | Protein Structure Prediction | Protein structure | PyTorch | Python | Representation Learning | Structure prediction | Version control
Education
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