Join TensorStreet Labs
TensorStreet is an independent research lab exploring how deep learning and mathematics can uncover hidden structure in financial markets.
Our programs are designed for students and early researchers who want to contribute to real research — building models, writing preprints, and advancing AI-native quantitative science.
We are currently a non-commercial, research-led collective. All roles are volunteer-based, driven by curiosity, collaboration, and shared authorship.
Research Associates
The TensorStreet Research Associate program is open to motivated students and early researchers who want to gain hands-on experience in deep learning, quantitative modeling, and financial data science.
They collaborate with Fellows, on experiment design, Machine Learning & Deep Learning models, and literature reviews, and are credited in TensorStreet’s open-access preprints.
This program is ideal for learners seeking exposure to ML led research, and a pathway to the TensorStreet Research Fellowship.
Research Fellowship
The TensorStreet Research Fellowship is a selective, invitation-based program for advanced students and early researchers who want to explore independent ideas within our core themes — deep learning, market structure, and representation learning.
Fellows drive small research directions, collaborate closely with other contributors, and co-author publications in the TensorStreet Preprint Series. The fellowship encourages original thinking, technical depth, and open scientific contribution.
While entry is currently by invitation, we welcome expressions of interest from researchers whose background and curiosity align with our work.
