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 and AI system development
  • Proficiency in Python and/or C++ programming languages
  • Familiarity with frameworks like PyTorch, JAX, TensorFlow
  • Expertise in GPU programming (CUDA, Triton, etc.)
  • Experience with large-scale AI systems and high-performance computing
  • Strong collaboration and team-oriented skills
  • Excellent English communication skills

Responsibilities

  • Apply advanced ML techniques to tackle complex finance problems
  • Collaborate with Researchers and Quants on flexible AI/ML frameworks
  • Optimize and enhance training pipelines for HPC resources
  • Integrate AI/ML models into production systems with low latency
  • Build performant and scalable AI/ML systems
  • Facilitate reductions in research iteration time
  • Handle additional duties as assigned

Benefits

  • Collaborative and fast-paced work environment
  • Opportunities to work on impactful AI/ML projects
  • Sponsorship for work visas for international candidates
  • CPT/OPT eligibility for students
  • Engagement in cutting-edge financial technology
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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