The vacancy is well-structured with clear responsibilities and compensation, though some expectations may be high for junior applicants.
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Overview
Join Jump Trading as a Campus ML Research Engineer to work on cutting-edge ML systems in quantitative finance. Collaborate with researchers and traders to optimize ML models and pipelines in a dynamic environment. 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 incenting 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.
What you'll do
- •Apply state-of-the-art techniques to complex and challenging domains.
- •Work closely with researchers and quants to build flexible and reusable frameworks for financial ML.
- •Optimise training pipelines to make the best use of our HPC resources.
- •Integrate ML models into production systems where latency matters.
- •Work across a mix of programming languages: C / C++ / Python / CUDA and other low-level GPU languages.
- •Build large scale ML systems that are observable, performant, and flexible.
- •Help improve productivity by reducing the iteration cycle time on research.
- •Other duties as assigned or needed.
Benefits include
- •Private Medical, Vision and Dental Insurance.
- •Travel Medical Insurance.
- •Group Pension Scheme.
- •Group Life Assurance and Income Protection Schemes.
- •Paid Parental Leave.
- •Parking and Commuter Benefits.
Skills you'll need
- •Creative thinkers who are driven, self-motivated, and eager to solve challenging problems.
- •Proficiency in Python and/or C++.
- •Proficiency in Pytorch, JAX, Tensorflow or other DL library.
- •Ability to thrive in a collaborative, team-oriented environment.
- •Expertise in GPU or Accelerator programming (CUDA, Triton, SYCL, ROCm or equivalent).
- •Experience building ML systems at large scale (hundreds of TBs of training data, low latency or high throughput inference requirements).
- •Excellent written and verbal communication skills in English.
- •Reliable and predictable availability required.
- •INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions.