Arrange that your organization as an applied scientist for the reinforcement learning team, you have the chance to help develop cutting edge robotic technology by combining reinforcement learning with Computer Vision, localization, and navigation.

More Uses of the Computer Vision Toolkit:

  • Formulate, implement and evaluate Computer Vision or deep learning based volumetric data segmentation, and surface reconstruction algorithms.
  • Govern: conduct applied research and development in machine learning, deep learning, Computer Vision and natural language processing.
  • Pilot: design and develop scalable solutions that leverage machine learning and deep learning models to meet enterprise requirements.
  • Be accountable for creating visualizations of complex data sets and results for ease of understanding by business partners.
  • Write clean readable code, debug complex problems that span systems, prioritize ruthlessly and get things done with a high level of efficiency.
  • Establish: design, build and extract large and complex data sets while thinking strategically about uses of data and how data use interacts with data design.
  • Engage, collect, and label diverse data sources to improve and enrich your deep learning based solution.
  • Perform statistical modeling, data extraction, analysis, construct, evaluate, and tune neural networks.
  • Coordinate with application development teams to integrate developed models with existing applications.
  • Construct sophisticated financial modeling and keep track of comparable public/private organization data.
  • Direct: design and implement custom Computer Vision algorithms and architectures for commercial product recognition.
  • Contribute to research projects that develop a variety of algorithms and systems in Computer Vision and machine learning.
  • Establish: research and development of 2D and 3D image analysis algorithms using image processing, Computer Vision, and machine learning technologies.
  • Establish: deep understand of deep learning algorithms and workflows, in particular working with large scale visual data.
  • Manage work with other researchers, engineers, product managers, and business partners to rapidly prototype algorithms for proof of concept demonstrations.
  • Supervise: design and implement real time estimation, mapping, tracking, classification, and detection algorithms.
  • Ensure you supervise; lead design and implementation of statistical data quality procedures for existing and new data sources.
  • Govern: design, develop, test and deploy advanced inference engine techniques and algorithms to enable quick deployment of AI models.
  • Become the expert in Computer Vision and machine learning domains as SLAM, 3D reconstruction, object recognition and classification.
  • Oversee: development of robotics vision algorithms, software architecture, and Computer Vision software for embedded software applications.
  • Utilize Computer Vision techniques to extract features and build machine learning applications by training on large datasets.
  • Develop real time, embedded C++ software to decode, interpret, and assemble the raw neural network outputs into a form consumable by the planning and control stack.
  • Pilot: work hand in hand with the key stakeholders and developers across your organization using Computer Vision components.
  • Collaborate with robotics and automation specialists, mechanical and quality engineers to apply machine learning to industrial problems and situations.
  • Establish: design and build Computer Vision solutions for object detection and tracking, scene segmentation, scene understanding, and depth estimation.
  • Control: implement advanced Computer Vision algorithms start with a proof of concept, fine tune and optimize as the project evolves.
  • Collaborate with team members on developing Computer Vision systems starting from prototype to production.
  • Develop strategies for technical and product development in conjunction with external broadcast and coaching partners.
  • Develop and test software components that implement your analysis methods for integration into production systems.

 

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