Campus AI/ML Researcher (Intern)
- Salary
- Not stated
- Level
- Intern
- Work type
- Not stated
- Visa
- Not stated
Open. First seen 3 October 2026.
The team: Front Office HIRES STEADILY
This role is one of 20 open in Front Office. 2 were posted in the last 30 days and the oldest in July: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
C++ (18 of 20), Python (17 of 20), Machine Learning (9 of 20), PyTorch (9 of 20), TensorFlow (9 of 20), CUDA (8 of 20), C (7 of 20)
OTHER ROLES ON THIS TEAM
- C++ Software Engineer | Trading Team posted Sep 30
- Python Engineer | Python Performance posted Sep 22
- Technical Project Manager posted Sep 16
- Quantitative Developer | Trading Team posted Aug 24
- Trading Production Engineer posted Jul 28
- Campus ML Research Engineer (Intern) posted Jul 13
- Campus ML Research Engineer (Full-Time) posted Jul 13
- Campus AI Researcher, PhD/Postdoc (Intern) posted Jul 13
- Campus AI Research Engineer – Research Automation (Intern) posted Jul 8
- Campus AI Research Engineer – Deep Learning (Full-Time) posted Jul 8
- Campus AI Research Engineer - Deep Learning (Intern) posted Jul 8
- Campus AI Research Engineer (Full-Time) posted Jul 8
- Campus AI Research Engineer (Intern) posted Jul 8
- Quantitative Developer posted Jun 25
- Software Engineer | Trading Team posted May 15
- DevOps/High Performance Trading System Engineer posted Mar 10
- Quantitative Developer | Trading Team posted Aug 23
- Quantitative Developer | Trading team posted Aug 14
- Research Scientist/Research Engineer | Deep Learning posted Jul 23
From the team and dates on Jump Trading's own job board.
About the role
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.
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