Campus AI Research Engineer (Intern)

P2P; New York (NY); On-site; USD 255,000 - 345,000; Full time

Benefits offered by this job

Visa sponsorship

Job summary

Jump Trading Group seeks world-class engineers to build state-of-the-art ML systems that drive innovative research in quantitative finance. You will work with researchers, traders, and engineers to develop scalable AI/ML frameworks and low-latency inference solutions.

You will apply Python/C++ across multi-language stacks, optimize training on HPC clusters, and push AI capabilities from concept to production, with emphasis on observable, high-performance systems and strong collaboration.

Qualifications

• Strong Python and C++ programming skills.
• Experience with AI/ML systems at scale and low-latency requirements.
• Proficiency with PyTorch, TensorFlow or similar frameworks.
• Experience with GPU/accelerator programming (CUDA, Triton, SYCL, ROCm).

Responsibilities

• Apply state-of-the-art techniques to complex domains in quantitative finance.
• Collaborate with researchers, quants, and engineers to build reusable ML frameworks for production use.
• Optimize training pipelines to leverage HPC resources.
• Integrate AI/ML models into latency-sensitive production systems.

Skills

Python

C++

PyTorch

TensorFlow

GPU programming

Low-latency systems

English communication

Team collaboration

Tools

CUDA

High-performance computing

Job description

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, 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 (annualized) is $300,000 per year.