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Senior Computer Vision Data Scientist

LinkedIn Garmin Olathe, KS
Not Applicable Posted April 5, 2026 Job link
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Requirements
  • Mastered proficiency in writing software in C++ and Python
  • Expertise in computer vision libraries such as OpenCV
  • Expertise in machine learning frameworks such as PyTorch, Tensorflow, Keras, or ONNX.
  • Experience evaluating algorithm and model performance with a variety of statistical techniques.
  • Demonstrated capability to offer peer technical assessments in areas of expertise, new technologies and software designs
  • Demonstrated strong and effective verbal, written, and interpersonal communication skills
  • Must be positive, detail oriented, organized, team oriented and a driven problem solver, multi-tasker, and self-starter with the ability to prioritize and lead in a fast paced, deadline-driven environment
  • Excellent academics (cumulative GPA greater than or equal to 3.0 as a general rule)
  • Possess a fundamental understanding of linear algebra, quaternions, and 3D geometry.
Preferred Skills
  • Possess a fundamental understanding of linear algebra, quaternions, and 3D geometry.
  • Possess a fundamental understanding of the operation and nuances of image sensors, lens optics, and the camera calibration process.
  • Experience generating intrinsic and extrinsic camera matrices and estimating camera position and pose.
  • Experience optimizing algorithms for embedded systems and servers.
  • Experience porting machine learning models to neural processing units and to cloud deployments.
  • Experience generating synthetic datasets for model pre-training.
  • Experience adapting algorithms for improved performance in adverse weather and lighting conditions.
Education
  • (Required) – Bachelor’s Degree in Computer Science, Computer Engineering, Software Engineering or related field AND a minimum of 5 years relevant experience OR an equivalent combination of education and experience
  • (Not required) – Excellent academics (cumulative GPA greater than or equal to 3.0 as a general rule)