Jobs · OTHR · New York

Research Scientist - Robot Perception: GE Vernova Advanced Research

GE Vernova · Niskayuna, NY · 1 wk ago
On-siteOTHR$86k–$140k/yrFull-time

Essential Responsibilities

  • Work with teams of researchers on new and continuing projects
  • Develop robotic perception modules for application industrial manipulators
  • Creatively combine state-of-the-art (SOTA) open-source models and in-house data to advance the robot capabilities
  • Write high-quality (documented, tested, maintainable) Python / C / C++ code in a large shared codebase
  • Implement and analyze prototypes and solutions for real-world problems
  • Create intellectual property by writing invention disclosures and filing patents
  • Publish research work to scientific journals and conferences
  • Writing and/or supporting grant proposals

Qualifications/Requirements

  • PhD in Computer Science, Electrical/Computer Engineering, Mathematics, Physics, or related fields with a focus on robotics, computer vision, or similar OR MS + 2 years' work experience in similar areas
  • Strong Computer Vision / Computer Graphics research background
  • Track record of published peer-reviewed research in topics such as:
    • Learned 3D reconstruction, depth prediction, feature matching, semantic segmentation, object 6-DoF pose and shape estimation
    • Vision-language models
    • Multimodal perception with vision/proprioception/touch sensing
    • Learned visual representations and foundation models for robot manipulation
  • Proficiency in Python programming and popular ML frameworks
  • Legal authorization to work in the US is required. We will not sponsor individuals at the Master's level for employment visas, now or in the future, for this job opening.
  • Must be willing to work out of an office located in Niskayuna, NY
  • Must be 18 years or older

Desired Characteristics

  • PhD in Computer Science, Machine Learning, Robotics, Computer Graphics or a related field
  • Hands-on robotics (manipulators, quadrupeds etc.) experience
  • Practical knowledge of 3D geometry, projective geometry, camera models

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