> Markdown version of [/jobs/ext/4169634-campus-ai-research-engineer-deep-learning-full-time](https://www.wearedevelopers.com/jobs/ext/4169634-campus-ai-research-engineer-deep-learning-full-time). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

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

- **Company:** Jump Trading
- **Location:** New York, NY, United States
- **Salary:** $300,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Nvidia CUDA, Python (Programming Language), Machine Learning, Language Modeling, Open Source Technology, Performance Tuning, Tensorflow, Pytorch, Deep Learning, Scikit Learn, Information Technology, ROCm, Machine Learning Operations, SQL Server Management Studio (SSMS), Programming Languages
- **Published:** October 26, 2026
- **Apply:** https://www.careerbuilder.com/job-details/campus-ai-research-engineer-deep-learning-full-time-new-york-ny--9ae447e0-fd49-455e-84ed-a75412e90c43

## About the Role

Artificial Intelligence (AI), Deep Learning, Mathematics, Computer Science, Physics, Global Financial Markets, Startup, Problem Solving Skills, Risk, Statistics, We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities 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 including AI/ML expertise, engineering pragmatism, statistics, and market intuition., * 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 as PyTorch, 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 or ROCm)
 * Experience with end-to-end model development
 * Strong opinions on best practices in ML research, tooling, and/or infrastructure

## Description

* 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.