Elliot Partnership
Machine Learning Developer
Elliot Partnership, New York, New York, us, 10261
OVERVIEW:
Machine learning developers work closely with researchers to creatively apply their knowledge of machine learning and software engineering to design, build, and maintain systems for high-performance, large-scale knowledge discovery in financial data. Machine learning developers have the opportunity to be part of an inclusive, collaborative, and engaging working environment.
WHAT YOU'LL DO DAY-TO-DAY:
Specific responsibilities include designing, implementing, testing, and documenting modules for all stages of the pipeline from data to predictions, assembling these modules into end-to-end systems, and interacting with researchers to achieve highly productive experimentation, model construction, and validation.
WHO WE'RE LOOKING FOR:• Successful candidates will have a strong knowledge of software engineering, machine learning, and open-source machine learning ecosystems. A track record of building and applying high-performance machine learning systems is desired• While an impressive record of academic achievement is a plus, we welcome outstanding candidates from diverse academic disciplines and backgrounds.
Machine learning developers work closely with researchers to creatively apply their knowledge of machine learning and software engineering to design, build, and maintain systems for high-performance, large-scale knowledge discovery in financial data. Machine learning developers have the opportunity to be part of an inclusive, collaborative, and engaging working environment.
WHAT YOU'LL DO DAY-TO-DAY:
Specific responsibilities include designing, implementing, testing, and documenting modules for all stages of the pipeline from data to predictions, assembling these modules into end-to-end systems, and interacting with researchers to achieve highly productive experimentation, model construction, and validation.
WHO WE'RE LOOKING FOR:• Successful candidates will have a strong knowledge of software engineering, machine learning, and open-source machine learning ecosystems. A track record of building and applying high-performance machine learning systems is desired• While an impressive record of academic achievement is a plus, we welcome outstanding candidates from diverse academic disciplines and backgrounds.