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Machine Learning Research Engineer

Machine Learning Research Engineer

GCS QuantChicago, IL, United States
1 day ago
Job type
  • Full-time
Job description

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 :

  • A solid understanding of machine learning infrastructure and MLOps.
  • Experience in GPU programming for accelerating training and inference processes.
  • Proven experience in building high-performance ML systems and deploying them in real-world scenarios.
  • Hands-on expertise in real-time, low-latency ML pipelines within high-performance environments.
  • Strong engineering background with proficiency in Python, CUDA, or C++.
  • A passion for pushing the envelope in training, evaluating, and innovating foundational machine learning models.
  • Familiarity with ML frameworks like PyTorch, TensorFlow, or JAX.

    • Excellent opportunity with a leading firm offering a rewarding package, with high growth career progression. For a confidential conversation, please reach out to : uronne@