Principal Machine Learning Engineer

• Design and build end-to-end infrastructure for training evaluation and productionization of ML models working closely with our HPC engineers who manage our on-prem compute cluster
• Influence foundational choices around data access compute orchestration experiment tracking model versioning and deployment pipelines
• Partner with quant researchers to accelerate iteration cycles tighten feedback loops and bring models from prototype to live trading
• Work with researchers to adapt and deploy modern architectures - transformers state-space models temporal convolutions graph neural networks - to noisy high-frequency financial data. Explore techniques like self-supervised pretraining representation learning and cross-sectional modelling where they offer genuine edge
• Shape our approach to reproducibility continual learning and production monitoring across a petabyte-scale data environment
• Define standards that create consistency across teams and geographies; mentor engineers and influence technical culture beyond your immediate work
• Keep pace with developments in deep learning research and ML infrastructure; bring ideas from academia and industry into how we work - whether that's new architectures training techniques or tooling

• 8+ years of experience building ML platforms or infrastructure at a leading tech company research lab or quantitative firm
• A track record of designing and owning large-scale training and inference systems - not just contributing but architecting
• Deep proficiency in Python with strong experience in either CUDA or C++
• Hands-on expertise with modern deep learning frameworks (PyTorch TensorFlow or JAX) and practical experience implementing architectures like transformers attention mechanisms or sequence models
• Strong foundation in deep learning fundamentals: optimization regularization loss design and the trade-offs that matter when training at scale
• Experience with distributed training at scale (Horovod NCCL) and GPU optimization (cuDNN TensorRT)
• History of deploying models to production with strong observability reproducibility and monitoring practices
• Comfort working across the ML stack from data pipelines to training infrastructure to serving systems

• Build don't inherit - You'll make foundational technology choices in a platform that's still being defined not maintain someone else's legacy.
• Real investment real backing - This is a strategic priority with resources behind it not a side experiment.
• Direct impact on trading - Your infrastructure will power models that make real trading decisions in competitive global markets.
• Global scope - Work with teams across New York Chicago Amsterdam London Sydney Hong Kong and beyond; define practices that can scale worldwide.
• Ideas over titles - IMC's culture values clarity rigor and collaboration. The best ideas win regardless of where they come from.
• Tight coupling with research - You won't be building in isolation. Researchers and engineers work side-by-side iterating together.

What We Do

IMC is a 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 Asia Pacific and India 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. 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.

Why Work With Us

At IMC the best ideas win regardless of hierarchy. Graduates receive mentorship and make an impact from day one while experienced hires get to shape their own path in a flexible high-performance environment. We remove barriers so everyone can grow and help drive one of the world’s leading liquidity providers.

Gallery