• 2026年毕业的计算机科学或工科专业的本科生或硕士研究生
• 有如Python,Java,JavaScript等至少一种编程语言的开发能力
• 1年以上机器学习、数据科学、计算机科学、人工智能、预测分析或类似领域的项目经验
• 每周至少能够全天工作4天,实习期至少能够持续4个月
• 耐心认真,细致踏实;具备出色的沟通能力,主动性和抗压性
• 优秀的英文能力, 良好的逻辑思考能力及分析问题能力
• 熟悉主流机器学习、深度学习和大语言模型框架,如 TensorFlow、PyTorch、BERT、Claude、GPT等
• 熟悉公有云服务和架构,具有公有云动手经验
• 有使用Amazon Web Services (AWS)服务的经验,包括但不限Sagemaker 、Bedrock、S3、EC2、RDS、Lambda、CDK等
• 较强的业务逻辑分析和数据分析能力
• 有效表达技术挑战和解决方案的能力
• 托福100+或雅思7.0+
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
我们正在寻找充满激情,勤奋好学的暑期实习生,从帮助亚马逊云科技专业服务团队加速探索基于公有云机器学习服务的多种解决方案,包括托管的机器学习服务配置、机器学习框架开发、基于行业应用场景的算法开发等。这是一个加入亚马逊世界一流技术团队的绝佳机会,与一些最优秀、最聪明的工程师一起工作,同时在最具创新和进步的技术公司之一发展你的技能,推进你的职业生涯。在专业服务团队,我们通过一系列业务关键和全球规模的项目,帮助客户和合作伙伴更好地利用亚马逊云科技平台创造商业价值。通过与亚马逊云科技内部的产品和服务团队合作来获取合适的交付解决方案,并根据客户需求推动功能创新。
Key job responsibilities
• 协助咨询顾问探索创新的机器学习技术或业务解决方案
• 协助开发基于亚马逊云科技公有云服务的及其学习功能组件,并应用到真实的客户项目中
• 在导师的指导下完成基于实战案例的小型课题研究
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