IMC · Hong Kong, Hong Kong; Sydney, Australia

Deep Learning Researcher

研究并构建深度学习模型,服务量化交易。

最近核查時仍有刊登最近確認刊登:2026-11-03 18:33:15.941678+00

招聘狀態可能變動,申請前請查看原始職位。

薪酬未公開
學歷硕士或博士;量化相关专业
語言未說明
經驗3年以上深度学习研究和大规模机器学习系统经验

來源發布日期:2026-02-18T21:44:36-05:00

工作內容

  • 研发和改进深度学习模型以提升交易表现
  • 研究并评估新型神经网络架构与训练方法
  • 支持大规模数据整理、特征表示和自监督学习
  • 与量化交易员、研究员和工程师协作落地方案

職位要求

  • 熟悉transformers、representation learning、self-supervised learning或generative models
  • 理解深度学习、优化和统计学习基础
  • 有分布式环境下训练和部署大模型经验
  • 精通Python及PyTorch、JAX或TensorFlow
查看招聘來源的要求摘錄

原始資料於 2026-11-01 查閱;內容可能已更新,請查看原始職位。

Your Skills and Experience:
PhD or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Engineering, or a related quantitative field
3+ years of experience conducting deep learning research and developing large-scale machine learning systems
Demonstrated expertise in modern deep learning architectures, including transformers, sequence models, representation learning, self-supervised learning, and/or generative models
Strong understanding of the theoretical foundations underlying deep learning, optimization, statistical learning, and neural network training dynamics
Experience training and deploying large-scale models in distributed computing environments; experience with large-scale pretraining is highly valued
Strong programming skills in Python and hands-on experience with modern deep learning frameworks such as PyTorch, JAX, TensorFlow, and associated ecosystem tools
Experience building scalable ML infrastructure, experimentation platforms, and model deployment systems
Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences
Demonstrated ability to thrive in a highly collaborative, research-driven environment

來源:公司官网 · 資料查閱日期 2026-11-01。職位狀態及要求請以原始招聘頁面為準。