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    Data Scientist - Burlington, United States - Matrixspace

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    Description
    The MatrixSpace team is inventing next-generation sensor technologies to make places safe. Incorporating intelligence into sensors improves resiliency and detection accuracy.

    The AI team at MatrixSpace researches and develops start-of-the-art computer vision, deep learning, graphics and data processing to deliver low-latency inferencing enable sensors to perform intelligent sensing.

    We develop software with 3D visualization, object mapping, tracking in temporal and spatial dimensions creating a model of surrounding environment.

    Be part of a small technical team solving these exciting, challenging problems.
    Key responsibilities
    Lead development and deployment of perception models to support program objectives.
    Continuously research, mature and advance efficient techniques to improve sensor fusion algorithms performing higher-level perceptive functions.
    Build new ML architectures, train and tune performance of models.
    Enhance sensor data collection, data transformation and procedures.
    Innovate ways to collect real world data, annotate and train models.
    Train and test models, document and analyze findings.
    Work with team to define, implement models and data processing.
    Skills and Experience
    Experience in computer vision and deep learning projects.
    Deep expertise in deep learning techniques and algorithms.
    Expertise in ML frameworks, PyTorch, Tensorflow, Keras, NumPy, Pandas.
    Excellent programming skills in Python, c/C++.
    Experience with model pipelines automation to tune and test.
    Collecting training models with real-world data.
    Ability to understand, analyze and interpret data/results.
    Ability to analyze new problems, logically explain solutions.
    Nice to have experience in optimizing models for edge processing.
    Strong writing and oral communication skills.
    Qualifications
    MS or PhD in Machine Learning, Computer Science or Engineering, Electrical Engineering, Mechanical Engineering, Mathematics.
    Passionate about collecting and analyzing real-world data.

    Location:
    Burlington, MA at the Northeastern University Campus.
    To apply for this position

    Please submit the below form – someone will contact you shortly.
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    First Name
    Last Name
    Email

    Phone number
    Thank you for your interest in MatrixSpace.
    145 South Bedford Street
    Burlington, MA 01803
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