Deep Learning Research Internship
0 - Irvine CA

Internship Category: Paid

Description
Description
Map
Reviews
  • Deep Learning Research Internship

    At Arcules, we are building algorithms and infrastructure to enable a large-scale cloud ecosystem for converged video and IoT solutions. You will be researching new deep learning models to meet the video analytics requirements, and/or advance existing model performance via improved hyper-parameter tuning, training data selection, model evaluation criteria, etc. An ability to write production-level code in a Cloud-based Unix-like environment is required, and the ability to place your models into a container based staging environment is highly preferred. Reports and documentation justifying your strategies for model selection and development is required on a biweekly basis. Lastly, you will work with the software development team(s) for the deployment of your models. You will also have the opportunity to interact with the data-production team such that data suitable for model training and testing is made available.

    Responsibilities:
    • Research new deep learning models to meet the video analytics requirements
    • Advance existing model performance via improved hyper-parameter tuning, training data selection, model evaluation criteria, etc.
    • Write production-level code in a Cloud-based Unix-like environment
    • Produce biweekly reports and documentation justifying strategies for model selection and development
    • Work with the software development team(s) for the deployment of your models
    • Interact with the data-production team such that data suitable for model training and testing is made available
    Requirements:
    • In-depth knowledge of machine learning, statistics, and computer algorithm development
    • Ability to write code in Python
    • Knowledge of Tensorflow, sklearn, Numpy, and other relevant libraries
    • Good written and verbal communication skills
    Preferred:
    • Currently pursuing a Ph.D. in Computer Science or a related field
    • Experience with deployment and staging environments for Machine Learning models
    • Experience with the Google Cloud Platform (i.e. PubSub, Storage, etc)
    • Experience with using Docker, Jenkins, and Kubernetes
    Deep Learning Research Internship

    At Arcules, we are building algorithms and infrastructure to enable a large-scale cloud ecosystem for converged video and IoT solutions. You will be researching new deep learning models to meet the video analytics requirements, and/or advance existing model performance via improved hyper-parameter tuning, training data selection, model evaluation criteria, etc. An ability to write production-level code in a Cloud-based Unix-like environment is required, and the ability to place your models into a container based staging environment is highly preferred. Reports and documentation justifying your strategies for model selection and development is required on a biweekly basis. Lastly, you will work with the software development team(s) for the deployment of your models. You will also have the opportunity to interact with the data-production team such that data suitable for model training and testing is made available.

    Responsibilities:
    • Research new deep learning models to meet the video analytics requirements
    • Advance existing model performance via improved hyper-parameter tuning, training data selection, model evaluation criteria, etc.
    • Write production-level code in a Cloud-based Unix-like environment
    • Produce biweekly reports and documentation justifying strategies for model selection and development
    • Work with the software development team(s) for the deployment of your models
    • Interact with the data-production team such that data suitable for model training and testing is made available
    Requirements:
    • In-depth knowledge of machine learning, statistics, and computer algorithm development
    • Ability to write code in Python
    • Knowledge of Tensorflow, sklearn, Numpy, and other relevant libraries
    • Good written and verbal communication skills
    Preferred:
    • Currently pursuing a Ph.D. in Computer Science or a related field
    • Experience with deployment and staging environments for Machine Learning models
    • Experience with the Google Cloud Platform (i.e. PubSub, Storage, etc)
    • Experience with using Docker, Jenkins, and Kubernetes
  • No Records Found

    Sorry, no records were found. Please adjust your search criteria and try again.

    Google Map Not Loaded

    Sorry, unable to load Google Maps API.

  • Leave a Review