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    InternshipsEtegent TechnologiesMachine Learning Engineer Co-Op

    Machine Learning Engineer Co-Op

    Etegent Technologies logo

    Etegent Technologies

    11-50 employeesFounded 1996Cincinnati, OHResearch Services
    NewApply by Aug 22Actively hiringPaidrollingResearch Services
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    About the role#

    Etegent Technologies hires co-ops to work on research projects across several fields. You will work alongside our researchers to solve customer problems. Tasks change based on the specific project and your personal skills or interests. Many of our current full-time engineers started as co-ops here.

    What you'll do#

    • Develop solutions to solve customer problems.
    • Work with researchers to implement new technology.
    • Create performance models for autonomous systems.
    • Assist with projects involving radar, lidar, and hyperspectral data.
    • Build tools to find insights in large data sets.

    What you'll need#

    • Exposure to Python and Git.
    • Knowledge of data structures and program design.
    • Comfort working in Linux environments.
    • Ability to travel to our Beavercreek office at least 3 times a week.
    • Exposure to ML/AI frameworks like PyTorch or TensorFlow.
    • Familiarity with statistical computing packages such as NumPy or Scikit-Learn.
    • Exposure to Computer Vision concepts and statistical pattern recognition.
    • Experience with visual interfaces like plotly or web design is a plus.

    Location & details#

    • Location: Beavercreek, Ohio.
    • Work Modality: On-site.
    • Employment Type: Full-time.
    • Term: Rolling.
    • This is a paid position.
    • We do not offer sponsorship for this role.
    • Preferred majors include Computer Science, Data Science, Computer Engineering, and Electrical Engineering.
    Relevant fieldsComputer ScienceData ScienceComputer EngineeringElectrical Engineering

    About Etegent Technologies

    Etegent Technologies is a research and development firm founded in 1996. Based in Cincinnati, the company employs between 11 and 50 people. It specializes in automatic target recognition and the health monitoring of turbine engines. The team uses physics-based methods to analyze data from radar, LADAR, and imaging systems.

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