Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Machine Learning Research Engineer to join our team.

Responsibilities

Researching and implementing machine learning models using modern techniques to be integrated into the team’s systems
Analyzing data sets to reveal the underlying statistical structure and useful patterns therein
Crafting novel non textbook machine learning models and pipelines
Collaborating with other team members to handle relevant practical business and technological concerns and to integrate models into production systems
Building and scaling machine learning infrastructure

Qualifications

A bachelor’s, master’s, or PhD degree in CS, Math, or a related field
Working knowledge of modern machine learning through study in courses, books, personal projects, or work experience
Experience using ML packages (e.g. Pytorch), distributed computing, Cuda, Git/Linux/Code review
Strong proficiency in one or more programming languages such as Python or C++
Passionate about applying modern machine learning methods to financial problems
Strong communication skills
The ability to be a creative problem solver with attention-to-detail

Anticipated New York annual base salary range $150,000-200,000, plus eligible for performance-based bonus

Benefits

Tower is headquartered in New York City, and has offices around the globe. While we work hard, Tower’s cubicle-free workplace, jeans-clad workforce, and well-stocked kitchens reflect the premium the firm places on quality of life. Benefits include:

5 weeks of paid vacation plus paid holidays
Free breakfast, lunch, and snacks on a daily basis
Reimbursement for health and wellness expenses
Free events and workshops

Tower Research Capital is an equal opportunity employer.