via LinkedIn
$120K - 200K a year
Design and build computational architectures for large-scale knowledge discovery in financial data using ML.
Experience in ML research, software engineering, and infrastructure development, which are not present in your background.
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.
This job posting was last updated on 2/2/2026