Machine Learning Engineer

Kitware • Arlington, VA

16h • Hybrid

About The Position

Kitware is a research and development software solutions provider with a mission to advance science, make a positive impact, and share our results all within a collaborative, employee-focused work environment that is friendly, fair, and flexible. Our work is improving healthcare outcomes, increasing national security, and advancing our national computing infrastructure. Our customers and collaborators include top universities from around the world, government organizations, national research labs, medical device manufacturers, car manufacturers, financial institutions, and many others.

Kitware is proud to be 100% employee-owned, and Great Place to Work-Certified™.

Requirements

• 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%
• Willingness to work 2-5 days a week on-site in a National Capital Region area government office, with the remainder of time in Kitware's office

Nice To Haves

• Active SECRET, TS, or TS/SCI security clearance
• Experience curating quality, real-world datasets for training deep learning models
• Proficiency in C++

Responsibilities

• 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

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
• free coffee, drinks, and snacks

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level