Campus ML Research Engineer (Full-Time)
Jump TradingAbout the Role
Jump Trading Group is seeking world-class engineers to collaborate with research, trading, and engineering teams to build state-of-the-art ML systems that solve complex problems in quantitative finance. You'll work on optimizing training pipelines on high-performance computing clusters, developing low-latency inference systems, and pushing the boundaries of AI research from concept to production. This role offers the opportunity to work on impactful projects in a fast-paced, collaborative environment where you'll leverage large-scale systems and advanced ML capabilities.
- 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 HPC resources
- Integrate ML models into production systems where latency matters
- Build large scale ML systems that are observable, performant, and flexible
Requirements
- 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
What You'll Get
- 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