Machine Learning Engineer - Computer Vision

Arlington, Virginia

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Kitware

Team Description: Our computer vision team is a leader in the creation of cutting-edge algorithms and software for automated image and video analysis. Our solutions embrace deep learning and add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We understand the difficulties in extracting, interpreting, and utilizing information across images, video, metadata, and text, and we recognize the need for robust, affordable solutions.  We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platform, such as Kitware Image and Video Exploitation and Retrieval (KWIVER) toolkit.
About the projects: Kitware’s employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations.  Much of Kitware’s work involves applying state of the art artificial intelligence approaches to dynamic, real world problems. You will have the opportunity to contribute your skills to projects of national and societal importance. Research and Developer Engineers at Kitware also enjoy benefits commonly associated with a position in academia, such as support and encouragement for the publication of novel work.

In This Position You Will:

  • Identify and adapt SOTA machine learning models to exploit new capabilities
  • Serve as algorithm liaison between computer vision researchers and software engineers
  • Validate, optimize, and deploy advanced signals exploitation algorithms on edge devices
  • Build out strategic IoT, edge compute, and robotics capabilities
  • Contribute high quality, maintainable code to various open source software projects

Required Qualifications:

  • BS (+5 years) or MS (+1 year) in CS, ECE, or related field
  • Proficiency in Python, competency with C++
  • Experience with deep learning libraries (Torch and/or Keras)
  • Strong background in both classical and modern (deep learning) machine learning including model selection, architecting, training, validation, testing, and deployment
  • Understanding of a variety of learning tasks (Object Detection, Segmentation, Re-Identification, Tracking, Pose, Super Resolution, NLP). Hands-on experience a strong plus
  • A high level of comfort with academic literature and the ability to adapt research products to solve real-world problems
  • Due to contractual restrictions, only candidates that are US Persons (citizens, permanent residents, asylees or refugees) will be considered for this position.

Preferred Qualifications:

  • Experience curating quality, real-world datasets for training deep learning models
  • Experience with ROS, Docker, Edge Devices (Jetson), Real-Time Processing, Networking, DSP, Robotic Systems, Cloud Deployment, all a plus
  • Experience interfacing with hardware and sensors such as cameras and LIDAR
  • Knowledge of sUAS systems, both algorithms and payload integration
  • Knowledge of agile software processes, reliability, data-driven development, and disciplined but fast experimentation
  • Government security clearance of TS
Company DescriptionKitware collaborates with customers to solve the world’s most complex scientific challenges through customized software solutions. Kitware delivers innovation by focusing on advanced technical computing, state-of-the-art artificial intelligence, and full-spectrum software solutions. Since its founding in 1998, Kitware has developed a reputation for deep customer understanding and technical expertise, honest interactions, and open innovation. We are proud to be a 100% employee-owned company. For additional information, please visit kitware.com. You can also follow us on Twitter, LinkedIn, and Facebook. 
Additional informationKitware is proud to be a 100% employee-owned company. Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a generous 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.
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.
Job region(s): North America
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