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    1. Home
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    4. Machine Learning and Software Engineer Internship
    Lock Applications for this job are now closed
    Closing soon

    3 Month Internships  - Remote

    Start July 2025

    Meet the Team  

    Join the Cisco CX AI Incubation team of Machine Learning and Software Engineers dedicated to developing cutting-edge AI solutions. As a Machine Learning/Software Engineering Intern, you will have the unique opportunity to apply your computer science knowledge and gain hands-on experience in a dynamic and supportive environment. Our team combines the depth of expertise found in a large organization with the agility and personal growth opportunities of a smaller, focused group. You will work closely with industry professionals, benefiting from a collaborative culture that encourages learning and innovation. Enjoy a vibrant workplace with a strong sense of community and access to resources that support both your professional and personal development. 

      

    Your Impact  

    • Assist in the development of machine learning models and AI solutions.   
    • Support the team in writing and maintaining high-quality code.   
    • Research and stay up to date with the latest AI methods, techniques, and tools  
    • Collaborate with team members to translate customer requirements into technical solutions.   
    • Participate in the entire data science lifecycle, contributing to prototype,MVP, or PoC creation.  
    • Help create infrastructure and tooling to improve model interactions.   
    • Contribute to maintaining the stability and quality of the codebase.   

      

    Minimum Qualifications

    • Currently pursuing a degree in Computer Science, Engineering, or a related field. 
    • Basic understanding of machine learning concepts and AI techniques.  
    • Programming skills in Python or another modern high-level language (e.g., Java, C++).  
    • Strong analytical and problem-solving skills. 

      

    Preferred Qualifications

    • Familiarity with software engineering best practices (e.g., version control, testing, debugging).   
    • Experience with collaborative development using version control systems like git and GitHub within the context of a team 
    • Relevant hands-on experience developing Machine Learning solutions 
    • Experience in Natural Language Processing and/or Computer Vision techniques.