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    Machine Learning Engineer - San Jose, CA, United States - Zoom

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    Description

    As a Machine Learning Engineer on our GenAI Engineering team, you will play a critical role in shaping the future of Zoom AI through innovative engineering solutions.

    The GenAI Engineering Team is committed to revolutionizing productivity in communication platforms through the delivery of AI Companion functionalities. Possess a Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Distributed Systems, or a related field.

    Be proficient in one or more programming languages such as Python, C, C++, or CUDA, with experience in building scalable software systems.

    Understand deep learning frameworks such as PyTorch, TensorFlow, or similar.
    Demonstrate AI dedication through sharing academic or personal AI projects and enthusiasm for new possibilities.
    Salary Range or

    On Target Earnings:

    We also have a location based compensation structure; Our structured hybrid approach is centered around our offices and remote work environments.

    The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.

    As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; and contribute to their community in meaningful ways.

    Zoomies help people stay connected so they can get more done together.

    We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.

    We're problem-solvers, working at a fast pace to design solutions with our customers and users in mind.

    Here, you'll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment.

    To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.

    All your information will be kept confidential according to EEO guidelines.

    If you need any assistance or accommodations due to a medical condition, or if you need assistance accessing our website or completing the application process, please let us know by emailing us at .

    Good news – this job posting is more like a marathon, not a sprint, so it could be available for a while LI-Remote #J-18808-Ljbffr


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