Jobs

Senior Machine Learning Engineer


Santa Clara, CA

Position Description

Job Responsibilities

  • Develop Computer Vision (CV), Machine-Learning (ML), and Deep-Learning (DL) models using images and other sensor data to detect and recognize objects.
  • Conduct research on state-of-the-art methods to improve and optimize the performance of CV, ML, and DL algorithms and models to meet high product quality and real-time compute requirements using large-scale server-class machines.
  • Develop models and algorithms for accurately localizing objects in real-world environments using geometric computer vision and depth perception techniques.
  • Use cloud service providers like Amazon Web Services (AWS) and various database management systems to develop tools and pipelines for large-scale data processing and analysis to improve product
    performance.

Qualifications

  • Master’s degree in Computer Science, Information Science, Robotic Systems, or related field.
  • 2 years of related experience.
  • Required skills:
    • Develop Computer Vision (CV), Machine-Learning (ML), and Deep-Learning (DL) models using images and other sensor data to detect and recognize objects (2 years)
    • Conduct research on state-of-the-art methods to improve and optimize the performance of CV, ML, and DL algorithms and models to meet high product quality and real-time compute requirements using large-scale server class machines (2 years)
    • Develop models and algorithms for accurately localizing objects in real-world environments using geometric computer vision and depth perception techniques (any amount of experience acceptable)
    • Use cloud service providers like Amazon Web Services (AWS) and various database management systems to develop tools and pipelines for large-scale data processing and analysis to improve product performance (2 years).
  •  5% domestic travel; may work remotely; periodic time in the office required; must live within commuting distance of the office. 

Full time. $159,182 - $275,000/year. Please visit https://bluerivertechnology.com/join-us/ to apply. 

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