About the role#
We are looking for research engineers to apply machine learning to complex domains. You will work on open-ended projects that move from initial concept to production. This role involves a mix of AI expertise, engineering, and statistics to improve our research infrastructure and model design.
What you'll do#
- Apply advanced techniques to challenging problems.
- Work with researchers and quants to build flexible frameworks for financial ML.
- Integrate ML models into production systems where latency is critical.
- Optimize training pipelines to use our HPC resources effectively.
- Build large-scale ML systems that are performant and observable.
- Improve productivity by reducing iteration cycle times for research.
What you'll need#
- A strong publication record at venues like ICML, ICLR, AAAI, NeurIPS, UAI, or KDD.
- A solid background in machine learning and modern deep learning techniques.
- Proficiency with ML frameworks such as PyTorch, JAX, or TensorFlow.
- Strong development skills in Python or C++.
- Intellectual curiosity and a pragmatic approach to problem-solving.
- Ability to work well in a collaborative, team-oriented environment.
Location & details#
- Locations: Chicago, Illinois and New York, New York.
- Modality: On-site.
- Employment: Full-time internship.
- Sponsorship: Available for international students.
- Majors: Computer Science, Data Science, Mathematics, Physics, Electrical Engineering, and Computer Engineering.
About Jump Trading
Jump Trading is a financial services firm founded over 25 years ago. The company maintains its headquarters in Chicago and operates 13 offices across 8 countries. It employs over 2,000 people who work on trading systems, research, and engineering. The firm focuses on various asset classes and uses machine learning and AI to operate in global markets.
How to get in at Jump Trading
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