CoVar is looking to develop software and machine learning algorithms to solve real-world customer problems for the DoD, biomedical researchers, and machinery monitoring.
Requirements
- Python (including NumPy, pandas, and other packages) and PyTorch.
- Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves, confusion matrices) are necessary.
- Knowledge of classical machine learning (e.g., support-vector-machines, logistic regression) are valued.
- ideally familiar with computer vision algorithms like object detection networks (e.g., YOLO, CenterNet) and modern image classification techniques.
- Software expertise: Python and associated numerical and analytics packages (NumPy, pandas, etc.); git; PyTorch.
- AI/ML expertise: Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language processing, classical machine learning, Bayesian models, etc.
Responsibilities
- You will work with data, develop algorithms, evaluate results, and write the production code that goes onto real-world systems.
- develop software and machine learning algorithms to solve real-world customer problems.
- develop algorithms
- evaluate results
- write the production code that goes onto real-world systems.
- present your work to high-level customers in the DoD and in the industry.
Other
- 8-12 weeks – flexible, depending on your schedule
- In-person in Durham, NC
- Paired with an advisor who will guide you and help you set and meet your goals
- Concludes with you presenting your work either internally to CoVar or externally to the customer
- Ability to work in Durham, NC
- Work authorization: US citizen
