Machine Learning Engineer

Job Description

IMC is seeking a Machine Learning Engineer to contribute to the development of systems that support the training and deployment of large-scale ML models across its global operations. The engineer will work alongside researchers, hardware experts, and software engineers to create robust solutions that leverage GPU acceleration, distributed computing, and open-source tools. This role offers the chance to address challenges at the intersection of machine learning and trading, influencing IMC's technology and trading capabilities.

The role involves:

• Developing large-scale distributed training pipelines.
• Building and optimizing low-latency inference pipelines.
• Developing libraries to improve the performance of machine learning frameworks.
• Maximizing performance using GPU hardware and acceleration libraries.
• Designing scalable model frameworks.
• Collaborating with quantitative researchers to automate ML experiments.
• Partnering with HPC specialists to optimize workflows.
• Evaluating and rolling out third-party tools.
• Extending the capabilities of open-source ML tools.

Requirements include:

• 5+ years of experience in machine learning.
• Hands-on experience with real-time, low-latency ML pipelines.
• Strong engineering skills in Python, CUDA, or C++.
• Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX.
• Proficiency in GPU programming (e.g., CuDNN, TensorRT).
• Experience with distributed training (e.g., Horovod, NCCL).
• Exposure to cloud platforms and orchestration tools.

IMC offers:

• A discretionary bonus.
• Benefits, including paid leave and insurance.