ML Research Scientist -Deep Learning & Transformer Architectures
Millennium, New York, New York
About the job
ML Research Scientist -Deep Learning & Transformer Architectures
Please direct all resume submissions to QuantTalentUS@mlp.com and reference REQ-29605 in the subject.
Overview
As part of a long-term research agenda within a newly formed systematic equities pod, we are building a proprietary Transformer-based model trained on tokenized intraday market data for next-token prediction of price movements.
We are seeking an exceptional ML research scientist with deep expertise in Transformer architectures and large-scale model training. You will design, implement, and train a custom decoder-only Transformer from scratch -not fine-tune an existing LLM, but build a purpose• built architecture for financial time-series.
This is a long-term research project with significant computational resources. The successful candidate will have a PhD in machine learning or a related field and demonstrated ability to implement Transformer architectures from first principles.
Principal Responsibilities
- Design and implement a custom decoder-only Transformer architecture optimized for tokenized financial time-series data