Campus AI Research Engineer – Deep Learning (Full-Time)

Jump Trading; New York, Northern (NY, KY); Hybrid; USD 270,000 - 330,000; Full time

Benefits offered by this job

Discretionary bonus eligibility

Medical, dental, and vision insurance

HSA/FSA options

Employer-paid life/AD&D insurance

Paid vacation and holidays

Retirement plan with employer match

Parental leave

Wellness programs

Job summary

Jump Trading Group seeks a Campus AI Research Engineer specializing in deep learning to push the boundaries of ML in global markets. You will translate research ideas into scalable, production-ready systems and collaborate closely with researchers and quants.

Ideal candidates demonstrate strong ML foundations, publications, and hands-on experience with PyTorch, JAX, TensorFlow, and CUDA, alongside Python and C++.

Qualifications

• Strong publication record at top ML conferences or equivalents.
• Solid background in machine learning and deep learning architectures.
• Proficiency in Python and C++ for research and production code.
• Experience with ML libraries such as PyTorch, JAX, TensorFlow.

Responsibilities

• Apply state-of-the-art techniques to complex domains.
• Collaborate with researchers and quants to build reusable ML frameworks for finance.
• Optimize training pipelines to utilize HPC resources efficiently.
• Integrate ML models into latency-sensitive production systems.
• Contribute across languages including C, C++, Python, CUDA.

Skills

Publication record

ML fundamentals

Python

C++

Collaborative spirit

Quantitative reasoning

Tools

PyTorch

JAX

TensorFlow

CUDA

Job description

Campus AI Research Engineer – Deep Learning (Full-Time)

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 research scientists with a demonstrated ability to apply machine learning to achievestate-of-the-artcapabilities in complex and challenging domains. The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research and monetization process. We believe that successful research efforts require a fluid mix of skills includingAI/MLexpertise, engineering pragmatism,statistics, and marketintuition.

What You'll Do:

• Applystate-of-the-arttechniques to complex and challenging domains.
• Work closely with researchers and quants to build flexible and reusable frameworks for financial ML.
• Optimizetraining 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.
• Buildlarge-scaleML 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:

• Strong publication record at ICML, ICLR, AAAI,NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research
• Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g.transformers, SSMs)
• Solid development skills in Python and/or C++
• Familiarity with ML libraries/frameworks such asPyTorch, JAX, and/or TensorFlow
• Intellectual curiosity, versatility, and originality combined with a pragmatic outlook
• Ability to thrive in a collaborative, team-oriented environment
• Ability to reason through quantitative problems and communicate effectively with trading researchers
• Reliable and predictable availability

Bonus Points:

• Experience with HPC and distributed large model training
• Experience with GPU performance optimization (CUDA orROCm)
• Experience with end-to-end model development
• Strong opinions on best practices in ML research, tooling, and/or infrastructure

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

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

- Discretionary bonus eligibility
- Medical, dental, and vision insurance
- HSA, FSA, and Dependent Care options
- Employer Paid Group Term Life and AD&D Insurance
- Voluntary Life & AD&D insurance
- Paid vacation plus paid holidays
- Retirement plan with employer match
- Paid parental leave
- Wellness Programs

We invest in what’s next. Then we build it.