Principal Machine Learning Engineer at IMC

At IMC we believe technology is the foundation of our competitive edge and machine learning is increasingly central to how we trade. Over the past few years weve been steadily building our machine learning capabilities: developing infrastructure growing our in-house GPU cluster deploying models into production and partnering closely with quant researchers and traders to generate real impact. Now were expanding the team scaling our systems and accelerating the application of deep learning in our research and execution workflows. Were looking for a Principal Machine Learning Engineer to help shape the next phase of our platform influencing architecture driving best practices and solving high-leverage problems. Youll work alongside researchers and technologists to design the systems that power experimentation training and deployment of ML models and help set the direction for how machine learning is done at IMC as we scale. If youve built ML infrastructure at scale elsewhere and are looking for a role where your ideas will genuinely help shape our firms future wed love to hear from you.Your Core Responsibilities: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 clusterInfluence foundational choices around data access compute orchestration experiment tracking model versioning and deployment pipelinesPartner with quant researchers to accelerate iteration cycles tighten feedback loops and bring models from prototype to live tradingWork 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 edgeShape our approach to reproducibility continual learning and production monitoring across a petabyte-scale data environmentDefine standards that create consistency across teams and geographies; mentor engineers and influence technical culture beyond your immediate workKeep pace with developments in deep learning research and ML infrastructure; bring ideas from academia and industry into how we work whether thats new architectures training techniques or toolingYour Skills and Experience:8 years of experience building ML platforms or infrastructure at a leading tech company research lab or quantitative firmA track record of designing and owning large-scale training and inference systems not just contributing but architectingDeep proficiency in Python with strong experience in either CUDA or CHands-on expertise with modern deep learning frameworks (PyTorch TensorFlow or JAX) and practical experience implementing architectures like transformers attention mechanisms or sequence modelsStrong foundation in deep learning fundamentals: optimization regularization loss design and the trade-offs that matter when training at scaleExperience with distributed training at scale (Horovod NCCL) and GPU optimization (cuDNN TensorRT)History of deploying models to production with strong observability reproducibility and monitoring practicesComfort working across the ML stack from data pipelines to training infrastructure to serving systemsWhy This Role:Build dont inherit Youll make foundational technology choices in a platform thats still being defined not maintain someone elses 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 IMCs culture values clarity rigor and collaboration. The best ideas win regardless of where they come from.Tight coupling with research You wont be building in isolation. Researchers and engineers work side-by-side iterating together.#LI-DNPThe Base Salary range for the role is included below. 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 visit Benefits - US IMC Trading for more comprehensive information.Salary Range$200000$250000 USDAbout UsIMC is a global trading firm powered by a cutting-edge research environment and a world-class 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 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.Required Experience:Staff IC Key Skills Design,Academics,AutoCAD 3D,Cafe,Fabrication,Java Employment Type : Full Time Experience: years Vacancy: 1