In This Position You Will:
- Collaborate with researchers on projects related to machine learning, artificial intelligence, and computer vision
- Perform rapid prototyping and enhanced development to be integrated into operational systems
- Contribute your strong programming ability and experience to develop robust solutions for real-world problems
- Validate, optimize, and deploy advanced exploitation algorithms
- Perform troubleshooting, bug fixes, and maintenance of existing and new code to ensure stability and robustness
Required Qualifications:
- Bachelor's degree or Master's degree in Computer Science, Electrical and Computer Engineering, or related field
- Proficiency in Python
- Experience with deep learning libraries (PyTorch, TensorFlow, etc.)
- Strong background in both classical and modern (deep learning) machine learning, including model selection, architecting, training, validation, testing, and deployment
- Machine learning experience using visual data
- Understanding of a variety of machine learning tasks, e.g. Object Detection, Segmentation, Re-Identification, Tracking, Pose, Super Resolution, Natural Language Processing
- A high level of comfort with academic literature and the ability to adapt research products to solve real-world problems
- Due to contractual requirements, only US Citizens will be considered for this position
- If not already cleared TS/SCI, willingness and ability to apply for and maintain a TS/SCI security clearance
- Some travel is required, typically 5-25%
- Full-time on-site work at the Kitware Office
Preferred Qualifications:
- Active SECRET, TS, or TS/SCI security clearance
- Experience curating quality, real-world datasets for training deep learning models
- Proficiency in C++
Benefits:
Competitive compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks, and snacks.
Equal Employment Opportunity:
Kitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law.
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