AIML Research Associate
NASA LaRC - Hampton, VA, United States
USD 46K-66K Entry-level Part Time
Tasks
- Assess uncertainty and model performance
- Build data pipelines for ingestion and cleaning
- Build dataset versioning
- Conduct experimentation with baselines and ablation studies
- Coordinate technical demos and deliverables
- Define AIML problem statements
- Develop and evaluate machine learning models
- Document methods and limitations
- Implement trustworthy robust machine learning practices
- Perform feature engineering and labeling
- Prototype proof of concept tools
- Run cross validation and error analysis
Perks/Benefits
- 401k matching
- Dental insurance options
- Health insurance options
- Long-term disability
- Paid Holidays
- Remote work option
- Short-term disability
- Tuition reimbursement
- Vision insurance options
Skills/Tech-stack
Ablation Studies | Anomaly Detection | Bias Testing | CI/CD | Classification | Code review | Computer Vision | Cross-validation | Data Leakage Prevention | Data labeling | Data leakage | Dataset versioning | Docker | Feature Engineering | Git | Language Processing | Leakage prevention | Machine Learning | Model Monitoring | Model versioning | NLP | Natural Language | Natural Language Processing | NumPy | Pandas | PyTorch | Python | RAG | Regression | Scikit-learn | TensorFlow | Time Series | Uncertainty Quantification | Unit Testing
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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