Machine Learning Intern

Machine Learning Intern

This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.

Job Description:

University students actively enrolled in a university/college/institution pursuing a Bachelor's or Master's degree in a technical area of study, and who typically works during school breaks and then returns to their university. While this applies to most interns, there may be opportunities for full-time students to work as part-time interns during the school year in some countries.

Internship Duration:  每周能保证至少实习2-3天，实习期不少于3个月

Responsibilities:

• 协助团队进行机器学习、深度学习相关算法的设计、实现与优化；
• 参与模型的训练、调优与测试，提升算法在实际业务场景中的性能；
• 支持数据预处理、特征工程、模型评估等核心工作；
• 协助搭建实验环境、撰写实验报告与技术文档；
• 跟进前沿AI技术动态，并为项目提出改进建议。

Knowledge & Skills:

• 计算机、电子信息、数学、统计或相关专业本科及以上学历，在校学生优先；
• 熟悉常见机器学习算法（如回归、分类、聚类等），了解深度学习框架（如 PyTorch、TensorFlow）；
• 熟练使用 Python 及常用数据科学库（NumPy、Pandas、scikit-learn 等）；
• 具备良好的数据分析与问题解决能力；
• 逻辑清晰，学习能力强，具备良好的沟通与团队协作精神；

Nice to Have:

• 有使用过 GPU 进行模型训练的经验；
• 了解模型部署或边缘设备上的 AI 优化；
• 参与过开源项目。

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

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#interns, #networking

Job:

Administration

Job Level:

N/A

    

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.