Campus AI/ML Researcher (Intern)
Hong Kong; Shanghai; Singapore
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Tools in this posting
- Python
- PyTorch
- TensorFlow
- C++
Source — Tool mentions in context
- 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
- 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++
Job description
Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.
Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.
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*Candidates should be interested in working in Asia for their full-time job after graduation.
*INTERNATIONAL STUDENTS are encouraged to apply.
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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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on www.jumptrading.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Hong Kong; Shanghai; Singapore
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Aug 24, 2026
- Recorded sightings
- 31
- Last seen by us
- Oct 9, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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