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    Stagiaire Machine Learning Engineer H/F - Canada - Abs Data

    Abs Data
    Abs Data Canada

    4 days ago

    Default job background
    Description
    Machine Learning Engineer Internship, Watermarking – US Remote
    Here at Hugging Face, we're on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world.

    000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly.

    This internship works at the intersection of all modalities: language, vision, audio.

    It focuses on watermarking the outputs of models, making them safer and helping deploy them in appropriate contexts; you will work with ML engineers to integrate state-of-the-art research in open-source toolkits and work to distribute them, and have your work used by many in the community.

    We're building a diverse team whose skills, experiences, and background complement one another. We are actively working to build a culture that values diversity, equity, and inclusivity.

    We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from.

    We believe this is foundational to building a great company and community.

    Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

    We provide all employees with reimbursement for relevant conferences, training, and education.
    We care about your well-being. We offer flexible working hours and remote options.

    While we have office spaces around the world, especially in the US, Canada, and Europe, we're very distributed and all remote employees have the opportunity to visit our offices.

    We support the community. We believe significant scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.
    Machine #Learning #Engineer #Internship #Watermarking #Remote
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