Machine Learning Engineer

IMC Trading

Amsterdam

On-site

EUR 70,000 - 120,000

Full time

5 days ago
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Benefits offered by this job

Visa sponsorship

Job summary

IMC Trading is seeking a Machine Learning Engineer to join their team in Amsterdam or London (onsite). You will help shorten the path from research ideas to live trading strategies, working closely with quant researchers, HPC specialists and software engineers across overlapping areas of ML research engineering and ML performance engineering.

Candidates should have 3+ years of hands-on ML systems work and production Python code, with a strong understanding of underlying mechanics beyond

Qualifications

  • 3+ years of hands-on ML systems work and production Python code you’ve owned over time.
  • Understand what happens beneath 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.

Skills

Python programming
Machine learning systems
Performance measurement

Tools

PyTorch
CUDA

Job description

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.

NB - visa sponsorship available

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