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About the job
As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across global operations. Your work will influence trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement. The team thrives on collaboration, working closely with researchers, hardware experts, and software engineers to create robust solutions that maximize the potential of cutting-edge technology.
You'll be responsible for
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Developing training pipelines
Develop large-scale distributed training pipelines to manage datasets and complex models⏱️
Building inference pipelines
Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems🤝
Collaborating with researchers
Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retrainingKey criteria
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Machine learning experience
3+ years of experience in machine learning systems.View
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Real-time ML pipelines
Hands-on experience with low-latency ML pipelines.View
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Programming skills
Proficiency in Python, CUDA, or C++ for engineering tasks.View
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