What are the responsibilities and job description for the Machine Learning Research Engineer position at GCS Quant?
Machine Learning Research Engineer - Leading Quantitative Hedge Fund
Our client is a leading quantitative hedge fund that is looking to further improve and expand their trading strategies across multiple asset classes and frequencies. We are currently looking for machine learning research engineers to work closely with their quant researchers, software engineers as well as their hardware experts to tackle some of the most challenging problems at the intersection of trading and ML / AI.
Responsibilities :
- Take the lead in designing and executing large-scale experiments that drive deep model analysis and performance evaluations.
- Push the boundaries of training and inference performance by utilizing GPU hardware and acceleration libraries, while collaborating with HPC experts to enhance workflows, speed up training, and cut down on costs.
- Work closely with quantitative researchers and algo developers to automate machine learning experiments, hyperparameter tuning, and model retraining.
- Focus on improving the stability and efficiency of compute platforms, ensuring seamless operation across both CPU and GPU clusters, while making the platform scalable and observable.
Qualifications and Requirements :
Excellent opportunity with a leading firm offering a rewarding package, with high growth career progression. For a confidential conversation, please reach out to : l.couronne@gcstechtalent.com