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

Aplaro Ltd; New York, Northern (NY, KY); Hybrid; USD 255,000 - 345,000; Full time

Benefits offered by this job

Discretionary bonus eligibility

Medical insurance

Dental insurance

Vision insurance

HSA/FSAs

Retirement plan with employer match

Paid vacation and holidays

Parental leave

Wellness programs

Job summary

Jump Trading Group seeks research scientists to push the boundaries of machine learning in global financial markets. You will take an open-ended research project from concept to production, building scalable ML systems and reusable frameworks in Python, C++, and CUDA while collaborating with researchers, quants, and engineers.

The role rewards strong publication records in major ML venues and practical experience applying DL techniques to real data.

Qualifications

• Strong publication record at top ML conferences (ICML/NeurIPS/AAAI).
• Deep understanding of modern ML and DL architectures (transformers, language modeling).
• Solid development skills in Python and C++.
• Experience with ML frameworks such as PyTorch, JAX or TensorFlow.

Responsibilities

• Apply state-of-the-art techniques to complex domains in finance.
• Collaborate with researchers, quants, and engineers to build reusable ML frameworks.
• Optimize training pipelines for HPC resources.
• Integrate ML models into latency-sensitive production systems.
• Work with C/C++/Python/CUDA across large-scale ML systems.
• Improve productivity by shortening research iteration cycles.
• Other duties as assigned.

Skills

Strong publication record

Machine learning

Python

C++

PyTorch

JAX

TensorFlow

CUDA

Quantitative problem solving

Tools

CUDA

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 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.

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 $300,000 per year.

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 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.

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 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

Benefits:

• 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