Machine Learning Engineer
Machine Learning Engineer
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Job Description
As a Machine Learning Engineer you will play a pivotal role in building systems that drive the training and deployment of largescale ML models across our global operations. Youll collaborate with leading researchers hardware experts and software engineers to build robust solutions that maximize the potential of GPU acceleration distributed computing and the latest opensource tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement.
This is a unique opportunity to solve problems at the intersection of advanced machine learning and highfrequency/mediumfrequency trading where your contributions will shape the future of IMCs technology and trading capabilities
Your Core Responsibilities:
- Develop largescale distributed training pipelines to manage datasets and complex models
- Build and optimize lowlatency inference pipelines ensuring models deliver realtime predictions in production systems
- Develop libraries to improve the performance of machine learning frameworks
- Maximize performance in training and inference using GPU hardware and acceleration libraries
- Design scalable model frameworks capable of handling highvolume trading data and delivering realtime highaccuracy predictions
- Collaborate with quantitative researchers to automate ML experiments hyperparameter tuning and model retraining
- Partner with HPC specialists to optimize workflows improve training speed and reduce costs
- Evaluate and roll out thirdparty tools to enhance model development training and inference capabilities
- Dig into the internals of opensource ML tools to extend their capabilities and improve performance
Your Skills and Experience:
- 5 years of experience in machine learning with a focus on training or inference systems
- Handson experience with realtime lowlatency ML pipelines in highperformance environments is a strong plus
- Strong engineering skills including Python CUDA or C
- Knowledge of machine learning frameworks such as PyTorch TensorFlow or JAX
- Proficiency in GPU programming for training and inference acceleration (e.g. CuDNN TensorRT)
- Experience with distributed training for scaling ML workloads (e.g. Horovod NCCL)
- Exposure to cloud platforms and orchestration tools
- A track record of contributing to opensource projects in machine learning data science or distributed systems is a plus
About Us
IMC is a leading global trading firm powered by a cuttingedge research environment and a worldclass technology backbone. Since 1989 weve been a stabilizing force in financial markets providing essential liquidity upon which market participants depend. Across our offices in the US Europe and Asia Pacific our talented quant researchers engineers traders and business operations professionals are united by our uniquely collaborative highperformance culture and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies and from developing an innovative research environment to diversifying our trading strategies we dare to continuously innovate and collaborate to succeed.
Employment Type
Full Time
