AI in Residence, Computational Protein Design
Seattle, Washington, United States
USD 120K-180K Entry-level Full Time
Tasks
- Contribute technical leadership and raise research standards
- Deploy models into production systems
- Design scalable data curation pipelines
- Develop machine learning models for antibody design
- Develop machine learning models for protein design
- Evaluate model robustness and reliability
- Frame problems and prototype solutions
- Improve interpretability for scientific decisions
- Maintain test and documentation for deployed systems
- Monitor pipelines and models in use
- Own projects end to end
- Run model inference in discovery workflows
- Train machine learning models for protein data
- Validate models with scientific experiments
Perks/Benefits
Skills/Tech-stack
Data Curation | Deep learning | Experiment design | Interpretability | Language Processing | Learning systems | Machine Learning | Machine learning systems | Model Deployment | Model Evaluation | Natural Language | Natural Language Processing | PyTorch | Python | Reliability Engineering | Reproducibility | Scalability | TensorFlow | Uncertainty Estimation
Education
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