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实习招聘|博世实习生招聘(人工智能/机器学习: 基础模型)

实习招聘|博世实习生招聘(人工智能/机器学习: 基础模型) 运筹Offer
2024-01-10
2
导读:实习招聘

运筹Offer运筹OR帷幄社区旗下的留学申请、求职资讯平台,聚焦运筹学、大数据、AI等领域,内容涵盖企业/高校招聘、职场/申请经历分享。



岗位:实习生(Artificial Intelligence / Machine Learning: Foundation Models)


Job Description

  • Conduct research and engineering in AI and machine learning, with a particular focus on Foundation Models and Data-centric AI. This includes specialized areas like Foundation Model AI tooling, spatiotemporal machine learning, time series learning, and general representation learning. Applications span Bosch's AIoT (AI+IoT) business domains such as autonomous driving, connected vehicles, Industry 4.0, IoT, and car multimedia.

  • Implement research results to solve real-world challenges, ensuring high-quality system integration within Bosch's existing platforms.

  • Document and disseminate research findings through high-caliber publications and/or patent submissions.


Requirements

  • Ph.D. students in Computer Science or a related discipline.

    3+ years of research experience, or an equivalent graduate research background, primarily in AI technologies including Foundation Models and Data-centric AI.

  • Publications in premier machine learning, deep learning, and computer vision journals and conferences.

  • Proficiency in one or more programming languages commonly used in machine learning (e.g., Python, C++).


Desired: 

  • Knowledge in machine learning and deep learning, notably in Foundation Model AI tooling, spatiotemporal machine learning, deep graph learning, general representation learning, model distillation, and related areas.

  • Familiar with major machine learning platforms like TensorFlow, PyTorch, or scikit-learn.

  • Experience in vision and multimodality foundation models (e.g., SAM, CLIP, LLaVA) is a plus.

  • Strong background in math and statistics is a plus.

  • Strong interpersonal, communication, and teamwork capabilities.


    Additional Information

    The U.S. base salary range for this intern position is $43.00-$66.00 per hour. Within the range, individual pay is determined based on several factors, including, but not limited to, type of degree, work experience and job knowledge, complexity of the role, type of position, job location, etc. Your Hiring Manager can share more details about the specific salary range for this position during the interview process.


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运筹Offer 运筹OR帷幄社区旗下的求职和留学资讯平台,聚焦运筹学、大数据、AI等领域,内容涵盖企业招聘、实习内推、职场经历分享以及运筹学海外硕博申请咨询
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