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    Internships/Blue River Technology

    2026 Machine Learning Intern, Autonomy

    Blue River Technology · California, United States

    Summer 2026RemotePaidPosted 2026-07-06
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    About the role#

    Blue River Technology is seeking a Machine Learning Intern to join our research and engineering team. This role focuses on improving and supporting robotic and vision-based systems for the agriculture industry. You will work on pushing the boundaries of our current technology through experimentation and algorithm development.

    What you'll do#

    • Research and develop image-processing and computer-vision algorithms for 2D and 3D scene segmentation.
    • Develop experiments and methods to detect and characterize model performance issues in long-tail conditions.
    • Explore deep learning models and frameworks to advance the performance of current systems.
    • Investigate new methods within the active learning space.

    What you'll need#

    • Enrollment in or completion of a degree program in Computer Science, Data Science, Mathematics, Electrical Engineering, or Mechanical Engineering.
    • Experience with machine learning systems, specifically in computer vision and deep learning.
    • Proficiency in Python and deep-learning frameworks such as PyTorch.
    • Strong attention to detail and the ability to work independently.
    • A positive attitude and willingness to take on a variety of tasks.

    Location & details#

    • Term: Summer 2026
    • Modality: Remote
    • Employment Type: Full-time
    • Compensation: $45–$60 per hour
    • Sponsorship: Not available
    Relevant fields:Computer ScienceData ScienceMathematicsElectrical EngineeringMechanical Engineering

    About Blue River Technology

    Founded in 2011 and headquartered in Santa Clara, California, Blue River Technology is a software development firm with a workforce of 201 to 500 employees. The company specializes in artificial intelligence, robotics, and computer vision to improve agricultural efficiency and sustainability. By collaborating with John Deere, the organization applies machine learning and automation to help farmers manage crops and weed control on a plant-by-plant basis.

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