AI Scientist
$150k - $200k • New York • Full-time
Posted 4mo ago
This job has been open for more than 60 days. It may no longer be actively hiring, so check with the company before putting a lot into an application.
Remote Work Policy
On-site
Employment Type
Full-time
Categories
LLM Engineer
About the job
WorldQuant is seeking an exceptionally talented AI Scientist to join its Artificial Intelligence team. This role involves conducting research in Machine Learning to enhance the investment pipeline, producing trading or predictive signals using innovative algorithms, and applying LLM-based agentic technology to develop and test new trading strategies. The position also includes implementing signal compression and combination techniques, designing deep learning architectures, and developing model frameworks for investment professionals. The successful candidate will collaborate closely with portfolio managers and researchers to optimize machine learning algorithms and communicate complex concepts effectively.
Responsibilities
- Conduct research in Machine Learning to improve the investment pipeline.
- Produce trading or predictive signals using innovative Machine Learning algorithms.
- Apply LLM-based agentic technology to develop and test trading signals and algorithms.
- Implement signal compression and combination techniques using Machine Learning tools.
- Implement state-of-the-art machine learning algorithms.
- Design deep learning architectures.
- Develop model frameworks for investment professionals.
- Collaborate with portfolio managers and researchers to optimize machine learning algorithms.
- Communicate complex concepts effectively to team members, researchers, and portfolio managers.
Requirements
- PhD in a quantitative or highly analytical field (e.g., Computer Science, Physics, Mathematics, Statistics, or related).
- 2+ years of research or work experience applying Machine Learning to complex problems.
- Excellent problem-solving abilities, insight, judgment, and strong attention to detail.
- Proficiency in C++, Python, and PyTorch.
- Demonstrated science aptitude via record of creativity and inventions.
- Ability to run experiments and perform statistical inference.
- Experience with software development tools and practices (e.g., Git, CI, testing frameworks).
- Advanced practitioner-level knowledge of statistical inference, machine learning, software solvers, and/or mathematical optimization.
- Strong communication skills; ability to express complex concepts in simple terms.
Benefits
- Fully paid medical and dental insurance for employees and dependents
- Flexible spending account
- 401k
- Fully paid parental leave
- Generous PTO (20 vacation days, 3 personal days, 10 sick days)
- Employee discounts for gym memberships
- Wellness activities
- Healthy snacks
- Casual dress code
- Learning and development courses
- Speakers
- Team-building off-site
- Employee resource groups