Campus AI Research Engineer (Full-Time)

Jump Trading

$250K — $300K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in machine learning or software engineering
  • Proficiency in Python and/or C++
  • Hands-on experience with frameworks like PyTorch, JAX, or TensorFlow
  • Strong GPU programming skills (CUDA or equivalent)
  • Experience in building scalable AI/ML systems with significant data loads
  • Effective communicator in English, both written and verbal
  • Consistent availability to meet project demands

Responsibilities

  • Apply advanced ML techniques to challenging quantitative finance problems
  • Collaborate with researchers and quants to develop reusable AI/ML frameworks
  • Optimize training pipelines for high-performance computing environments
  • Integrate high-performance AI/ML models in production systems
  • Utilize a mix of programming languages including C, C++, and Python
  • Construct large-scale AI/ML systems to enhance observability and performance
  • Perform other assigned duties as needed

Benefits

  • Opportunities to work on impactful projects in a collaborative environment
  • Involvement in cutting-edge AI/ML research and production
  • Support for international students regarding CPT/OPT and work visa sponsorship
Full Job Description
We are seeking world-class engineers to collaborate with our research, trading, and 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, you'll 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 AI/ML capabilities, we want to meet you.

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 AI/ML.
  • Optimize training pipelines to make the best use of our HPC resources.
  • Integrate AI/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 AI/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 You'll Need:

This role covers a wide range of potential projects and skills. We don't 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, and/or similar frameworks
  • Ability to thrive in a collaborative, team-oriented environment
  • Expertise in GPU or accelerator programming (CUDA, Triton, SYCL, ROCm, or equivalent)
  • Experience building AI/ML systems at 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


INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions.

The estimated base salary for this role is $250,000-$300,000 per year.

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