Machine Learning Engineer Language
24 Days Old
Develop large-scale distributed training pipelines to manage datasets and complex models
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 high-volume trading data and delivering real-time, high-accuracy 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 third-party tools to enhance model development, training, and inference capabilities
Dig into the internals of open-source ML tools to extend their capabilities and improve performance
5+ years of experience in machine learning with a focus on training or inference systems
~ Hands-on experience with real-time, low-latency ML pipelines in high-performance 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., Experience with distributed training for scaling ML workloads (e.g., A track record of contributing to open-source projects in machine learning, data science, or distributed systems is a plus
Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. IMC is a leading global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we've 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, high-performance culture, and our commitment to giving back.
- Location:
- Highgate, Greater London
- Salary:
- £250,000,000
- Job Type:
- FullTime
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