主要观点总结
本文介绍了三个不同公司的精选岗位：Meta的Research Scientist，Zoox的Machine Learning Engineer以及PayPal的Machine Learning Engineer 3。文章提供了各岗位的职责、行业分类、公司规模、工作地点以及相应的职位要求和申请链接。
关键观点总结
关键观点1: Meta的Research Scientist岗位关键信息
该岗位涉及机器学习、深度学习领域的模型压缩、硬件优化等，要求有计算机科学、电子工程或相关领域学位及实践经验，或等效的实际工作经验。
关键观点2: Zoox的Machine Learning Engineer - Perception Semantics岗位关键信息
该岗位需要具有计算机视觉和机器学习方面的经验，包括模型训练、管道建设等，对Python和机器学习库有熟练度，同时需要有与模型优化相关的经验。
关键观点3: PayPal的Machine Learning Engineer 3岗位关键信息
该岗位需要具有物理、工程或相关领域的硕士学位，以及统计分析和大规模计算、计算算法、机器学习等方面的技能，同时需要掌握SQL和贝叶斯统计推断等技能。
正文
PhD in Electrical Engineering, Computer Science or equivalent experience.
2+ years of specialized experience in one or more of the following machine learning/deep learning domains: Model compression, hardware aware model optimizations, hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. PyTorch), numerics and SW/HW co-design.
Experience developing AI-System infrastructure, AI algorithms or AI hardware acceleration in C/C++ or Python.
职位申请链接（请直接复制至浏览器打开）
https://www.metacareers.com/jobs/1062797312555467/
职位：
Machine Learning Engineer - Perception Semantics
行业分类：Automotive, subsidiary of Amazon
职位要求：
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MS or PhD in Computer Science, Machine Learning, or related technical field
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Demonstrated experience training and deploying perception and computer vision based models
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Experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluationProficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projects
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Experience with model optimization techniques such as quantization, pruning, or knowledge distillation
职位申请链接（请直接复制至浏览器打开）
https://jobs.lever.co/zoox/deaa9c24-daeb-461d-bcd3-2098bb3581f5
