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Computer Vision Scientist

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Job Title: Senior Computer Vision Scientist

Location: San Diego, CA (Remote)

Job Description:

The ideal candidate will have extensive experience in computer vision techniques, particularly in object detection, recognition, and tracking. This role involves close collaboration with cross-functional teams, including AI leads, ML engineers, and product owners, to develop impactful, innovative solutions. Reporting to the Head of AI, the Senior Computer Vision Scientist will help drive advancements that impact millions worldwide.

Responsibilities:

  • Design, develop, and optimize computer vision algorithms for image and video processing, focusing on object detection, recognition, and tracking.
  • Optimize algorithms for implementation on server and/or embedded systems with constraints such as limited memory, integer math, and power budgets.
  • Stay updated on the latest computer vision and machine learning advancements to apply best practices and novel approaches.
  • Collaborate with the broader team to understand project objectives, translating concepts into Proof of Concepts (PoCs) and products.
  • Evaluate trade-offs between performance, efficiency, and requirements while selecting image processing methodologies.
  • Work with a cross-functional team to drive product development.
  • Mentor junior team members and serve as a technical lead for one or more projects.
  • Develop testing procedures, write documentation, and debug software. Collaborate with Key Opinion Leaders (KOLs) and vendors to drive progress.
  • Simplify complex topics for presentations to the broader team.

Qualifications:

  • Ph.D. with at least 2 years of applied research experience, or a Master's degree with at least 4 years of experience.
  • 4+ years of experience developing computer vision algorithms.
  • Strong programming skills in Python, C++, and/or Java.
  • Deep knowledge of computer vision and machine learning/deep learning algorithms and architectures (e.g., YOLO, CNN).
  • Proficiency in computer vision libraries (e.g., OpenCV) and deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Experience with cloud services, such as Azure or AWS.
  • Excellent communication and data presentation skills.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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