Hunyuan Multimodal Algorithm Researcher Intern(Omni-Modal)

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    Tencent

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    10,001+ employeesFounded 1998Shenzhen, GuangdongSoftware Development
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    Best applied by Sep 30

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    About the role#

    This internship focuses on the research and development of Omni multimodal large models. You will work within the Technology Engineering Group to build foundational model algorithms, optimize training processes, and evaluate model performance across various scenarios.

    What you'll do#

    • Design and construct training data for multimodal models.
    • Research and develop foundational model architectures, including pre-training, SFT, and RL optimization.
    • Analyze technical challenges and identify performance bottlenecks to improve model development cycles.
    • Explore new paradigms for Omni-modal understanding and generation.

    What you'll need#

    • A Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Mathematics, Physics, Statistics, Data Science, Electrical Engineering, or Computer Engineering.
    • Practical experience with large-scale multimodal data processing and high-quality data generation.
    • A solid foundation in deep learning algorithms and experience developing large models.
    • Familiarity with Diffusion Models and Autoregressive Models.
    • Proficiency in the implementation details of deep learning networks, operators, and model tuning.

    Location & details#

    • Location: Palo Alto, California.
    • Modality: On-site.
    • This is a paid, full-time internship with a rolling start date. Sponsorship is not provided for this position.

    About Tencent

    Tencent is a technology company founded in 1998 and based in Shenzhen, China. It operates across several sectors including online gaming, social networking, and digital content. The company provides cloud computing, advertising, and financial services to enterprise clients. It currently employs over 89,000 people and maintains a presence in multiple international markets.

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