精选MLE岗位 | BASF Corporation、ByteDance、Apple 等公司持续热招!
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职位:Machine Learning Engineer (Large Language Models)(CAN)
行业分类:European chemical company, the largest chemical producer in the world
公司规模:111,500 人
工作地点:Mississauga, ON, CAN
职位要求:
Master's degree or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field.
Strong experience in working with deep learning architectures like transformers and related models (such as GPT-3 or similar models).
Excellent programming skills in Python, and experience with machine learning frameworks such as TensorFlow or PyTorch.
Experience with cloud platforms (ideally Microsoft Azure), containerization technologies and with deploying and managing AI solutions in a cloud environment.
Excellent problem-solving, critical thinking, and communication skills.
Continuous learning to keep up with the rapid technological developments in the field of AI.
职位申请链接(请直接复制至浏览器打开)
【ByteDance】
行业分类:图文、视频、问答、图片等领域,产品矩阵包括Tiktok、今日头条、抖音、西瓜视频、火山小视频、TopBuzz、Faceu 激萌、图虫、懂车帝等多款产品
公司规模:40,000人
Currently pursuing a PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
Familiar with machine learning algorithms and platforms
Able to commit to working for 12 weeks during fall 2023
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
Published papers at top conferences
Familiar with the C/C++ and Python development in Linux environments;
Familiar with at least one deep learning framework (TensorFlow, PyTorch, MXNet, or other);
Ability to work independently and complete projects from beginning to end and in a timely manner.
Good communication and teamwork skills to clearly communicate technical concepts with other teammates.
【Apple】
职位:AI/ML - Machine Learning Researcher, Information Intelligence
行业分类:Consumer electronics, Software services
公司规模:164,000人
PhD, or equivalent practical experience, in Computer Science, or related technical field Demonstrated expertise in deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying deep learning techniques to products
Proficient programming skills in Python and one of the deep learning toolkits such as PyTorch, Tensorflow, or Jax
Ability to work in a collaborative environment.
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