Machine Learning Engineer
IMC Trading · Financial Services
unknown
Salary Range (USD)
Negotiable
Location
Amsterdam or London
Visa Support
Supported
Funding Stage
Unknown
Job Responsibilities
- • Shorten the path from a research idea to a live trading strategy
- • Work with quant researchers, HPC specialists and software engineers
- • ML research engineering: distributed training pipelines, experiment automation, and making training faster and cheaper at scale
- • ML performance engineering: low-latency real-time inference and getting the most out of GPUs
Required Skills
3+ years of hands‑on ML systems workProduction Python code ownershipUnderstanding of low‑level performance and ability to measure itDepth in distributed training, GPU optimization, real‑time inference or numerics at scaleExperience with PyTorchExperience with CUDA
Engineering Culture & Tech Stack
PythonPyTorchCUDA
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IMC Trading | Machine Learning Engineer | Amsterdam OR London | ONSITE | Full-time
IMC is a research-driven trading firm and has been a market maker since 1989. Our researchers, traders and engineers work as one team on systems we build ourselves, trading across global markets.
We want ML engineers to shorten the path from a research idea to a live trading strategy. You’ll work with quant researchers, HPC specialists and software engineers in one of two overlapping areas:
- ML research engineering: distributed training pipelines, experiment automation, and making training faster and cheaper to run at scale.
- ML performance engineering: low-latency, real-time inference, and getting the most out of GPUs.
Stack includes: PyTorch, CUDA
We’re looking for 3+ years of hands-on ML systems work and production Python code you’ve owned over time. You should understand what happens beneath the high-level APIs and measure performance before you optimize. Depth in distributed training, GPU optimization, real-time inference or numerics at scale is a big plus.
Apply: https://www.imc.com/eu/careers/jobs/4567047101
NB - visa sponsorship available
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