About Us
Manifold Technologies is a quantitative trading firm building systems that curve with the market’s geometry. We don’t chase trends—we curve the field until structure reveals itself. Most systems collapse when curvature shifts. Ours adapts because it is built from within. Bayesian inference and differential geometry aren’t frameworks we borrow—they are the native language of our architecture.
We’re looking for a Quantitative Research Intern to contribute to the development of our core signal research pipeline. This role is grounded in first-principles thinking—using tools like differential geometry to model structure and Bayesian inference to adapt under uncertainty. You’ll work on small but critical subproblems inside our research stack, with the opportunity to contribute to signal shaping, experimental design, or internal simulation logic depending on background and interest.
The ideal candidate is pursuing or has recently completed a degree in computer science, mathematics, or a related field at a top-tier institution (e.g., Stanford, MIT, Berkeley, CMU) with a GPA of at least 3.9. They should have a strong foundation in linear algebra, probability, and machine learning, and be comfortable reasoning from structure, not just applying libraries.
About You
You’re pursuing (or have recently completed) a degree in computer science, mathematics, or a related field at a top institution, and have performed at a high academic level
You reason well from structure, not just examples, and you’re comfortable navigating complex problems without a predefined solution
You’re a strong programmer who can translate mathematical ideas into clean, effective code
You enjoy working in focused, high-trust environments where clarity matters more than process
You’re intellectually open—you want to understand systems at their root, and you’re ready to contribute to something structurally different
Responsibilities
Work on well scoped engineering or research tasks, contributing to components that support our signal infrastructure
Implement clean, well-reasoned code—often translating geometric, statistical, or algorithmic structures into working systems
Collaborate with senior researchers and chief executive to test ideas, debug behavior, and refine internal tools
Participate in discussions around experimental design, signal structure, or system behavior depending on interest and background
Learn how a recursive system behaves under real-world constraints—and help shape the parts you’re trusted to hold
Compensation
The weekly base pay will range from $3,000-$4,500 with actual compensation for successful candidates carefully determined based on a number of factors, including their skills, qualifications, and experience. Additional benefits—such as health coverage, wellness stipends, or retirement contributions—may be offered depending on the final structure of the offer.
Manifold Technologies is an Equal Opportunity Employer.