Campus AI/ML Researcher (Intern)

原始資料於 2026-11-01 查閱；內容可能已更新，請查看原始職位。

Who Should Apply?
We are seeking researchers with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains.
The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure.
Potential projects may target any area of the quantitative research and monetization process. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, statistics and market intuition.
No prior knowledge of finance or trading is necessary. We’ll give you the training that you’ll need.
Other duties as assigned or needed.
Skills You'll Need:
Creative thinkers who are driven, self-motivated, and eager to solve challenging problems with a pragmatic outlook
Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research
Familiarity with ML libraries/frameworks such as PyTorch, TensorFlow, and/or JAX
Proficiency in Python and/or C++
Ability to thrive in a collaborative, team-oriented environment
Ability to reason through quantitative problems and communicate effectively with trading researchers
Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs)
Reliable and predictable availability required
If you have outstanding skills in math, ML, and programming, and you are curious about the challenge of improving research with daily feedback from competitive markets, we hope you’ll apply.