Campus ML Research Engineer

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.

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.

We are seeking world-class engineers to collaborate with our research trading engineering teams to build state-of-the-art ML systems that solve some of the most complex problems in quantitative finance. Whether optimizing training pipelines on high-performance computing clusters developing low-latency inference systems or pushing the boundaries of AI research from concept to production youll have the opportunity to work on impactful projects in a fast-paced collaborative environment.

If you are driven by technical challenges eager to work with large-scale systems and passionate about advancing ML capabilities we want to meet you.

What youll 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.
• Optimize 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.

Skills youll need:

This role covers a wide gamut of potential projects and skills. We dont expect everyone to have all of these but for the applicable areas we are looking for deep technical expertise.

• 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 sponsor work visas for full-time positions.

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

Required Experience:

IC