Python Software Engineer Co-op

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    MORSE Corp

    Mission Oriented Rapid Solution Engineering

    201-500 employeesFounded 2014Cambridge, MADefense and Space Manufacturing
    Actively hiringPaidrollingDefense and Space Manufacturing
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    Best applied by Sep 24

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    About the role#

    MORSE Corp is looking for Python Software Engineer Co-ops to help build software that tests, evaluates, and deploys machine learning at scale. You will work on full stack web applications, data pipelines, and cloud-hosted infrastructure for various DoD customers. This is a full-time, paid position.

    What you'll do#

    • Build, automate, and optimize big data pipelines and supporting software for machine learning evaluation.
    • Develop custom software packages and full stack applications.
    • Perform backend development, data engineering, and DevSecOps tasks using AWS or Azure tools.
    • Collaborate with cross-functional teams to design and ship new features.
    • Evaluate and implement new technologies to improve development efficiency.
    • Participate in code reviews by providing and receiving constructive feedback.
    • Integrate open-source tools and algorithms to solve complex problems.

    What you'll need#

    • US Citizenship and the ability to obtain a US Security Clearance.
    • Current enrollment in a BS or BA program for Computer Science, Engineering, or a related field.
    • Proficiency in Python.
    • Working knowledge of software development architectures and emerging technologies.
    • Understanding of version control systems, specifically Git.
    • Experience with Docker and Spark is a plus.
    • Strong communication skills.

    Location & details#

    • This role is on-site in Cambridge, Massachusetts, Arlington, Virginia, or Seattle, Washington.
    • The position follows a rolling term schedule.

    About MORSE Corp

    MORSE Corp is an employee-owned company based in Cambridge, Massachusetts. Founded in 2014, the firm focuses on defense and space manufacturing. It employs between 51 and 200 people, including scientists, engineers, and software developers. The company provides technical solutions for the US National Security Ecosystem through work in algorithm development, system integration, and machine learning.

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