Machine Learning Researcher
New York
Tower Research Capital
Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Machine Learning Researcher 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, with a focus on neural networks
- Collaborating with other team members to handle relevant practical business and technological concerns and to integrate models into production systems
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.
Tags: CUDA Git Linux Machine Learning Mathematics ML models PhD Pipelines Python PyTorch Research Statistics
Perks/benefits: Career development Health care Lunch / meals Salary bonus Team events Wellness
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