Research Engineer

Aquatic Capital Management • New York, NY

2d • $150,000 - $300,000

About The Position

Aquatic Capital Management is seeking a Research Engineer to join our research team. Your work will blend software engineering and quantitative research, focusing on designing high-performance tooling and infrastructure that accelerate the development of machine learning models used in systematic trading.
You will work closely with quantitative researchers to build the next generation of modeling platforms —from applying numerical computation methods, to training deep learning models. The software you develop will play a central role in driving the firm’s machine learning strategy.

Requirements

• Strong software engineering skills with experience in machine learning, numerical computing, and/or applied ML research
• Proficiency with Python and numerical + ML frameworks (PyTorch, JAX, numpy), familiarity with PyTorch 2.x compiler stack (e.g., TorchScript, TorchInductor) is a plus
• Practical experience deploying ML models or infrastructure in a research and production environment
• Understanding of GPU architecture (memory structure, SMs, performance counters, etc.) and profiling techniques a plus
• BS/MS/PhD in Computer Science, Applied Math, Engineering, or a related technical field

Responsibilities

• Scale neural network training systems to support larger, more complex models while maintaining the ability to run many experiments at once
• Explore and prototype novel modeling approaches (e.g., more efficient decision trees, the latest transformer variant)
• Collaborate with researchers to take promising models quickly and reliably into production
• Profile and optimize distributed model training and inference–for example, by using GPU acceleration and the latest ML compiler technologies.
• Establish best practices for a clean, reproducible, and maintainable research codebase where new ideas can be quickly validated.

Benefits

• For full-time employees, fully paid medical, dental, and vision for employees and dependents, competitive 401k plan, employer-paid life & disability insurance
• Wellness programs, casual dress, snacks, lunch, game room, team and company events
• Open environment to maximize learning and knowledge sharing
• Generous PTO, paid holidays, competitive paid caregiver leaves

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree