The D. E. Shaw group seeks a machine learning researcher to creatively apply their knowledge of ML and software engineering to design and build computational architectures for high-performance, large-scale knowledge discovery in financial data. In this dynamic role, the engineer will leverage cutting-edge ML research to turn new ideas into proof-of-concept implementations, solve tough low-level engineering problems, and set up infrastructure for broader, longer-term impact. This position will play a key role in improving the efficiency, scalability, and reliability of the firm’s ML efforts, and will directly impact the firm’s systematic research through ML engineering contributions, all within a collaborative and engaging environment.

Rapidly prototype, implement, and evaluate state-of-the-art machine learning techniques.
Drive the computational agenda for ongoing and future ML projects.
Tackle complex engineering problems across software and hardware layers, setting technical direction and anticipating architectural needs.
Deploy ML models into real-world systems where they have direct, measurable impact on decision-making and trading.
Create compelling proof-of-concept systems, demonstrate them internally, and collaborate with others for development.
Partner with researchers to design and implement efficient training workflows, enabling rapid experimentation with deep learning models.

Machine Learning Researcher