Machine Learning Engineer

<p class="_13fp8yk6c dzswju0 dzswju2">Machine Learning Engineers at IMC play a pivotal role in building the systems that drive training and deployment of large-scale ML models across IMC's global operations. They collaborate with quantitative researchers, hardware specialists and software engineers to build robust systems that get the most out of GPU acceleration, distributed computing and the broader open-source ML ecosystem. ML Engineers' work directly shapes how fast we can experiment, iterate and deploy, accelerating the cycle that turns a research idea into a live trading strategy.</p> <p class="_13fp8yk6c dzswju0 dzswju2">This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC's technology and trading capabilities.</p> <p class="_13fp8yk6c dzswju0 dzswju2">As a team, our Machine Learning Engineers broadly work across two areas: <strong class="_13fp8yk6c dzswju0">ML Research Engineering</strong>, focused on the systems and frameworks researchers use to train, evaluate and iterate on models at scale; and <strong class="_13fp8yk6c dzswju0">ML Performance Engineering</strong>, focused on making ML workloads execute as efficiently as possible, typically through GPU and low-level systems optimisation. These aren't rigid tracks, and there is overlap between them. You will bring depth of expertise in at least one of these focus areas and collaborate closely with global team members.</p> <p class="_13fp8yk6c dzswju0 dzswju2"><strong class="_13fp8yk6c dzswju0">Your Core Responsibilities:</strong></p> <div> <p class="_13fp8yk6c dzswju0 dzswju2">ML Research Engineering:</p> <ul> <li class="_13fp8yk6c dzswju0 dzswju2">Develop large-scale distributed training pipelines that manage complex datasets and models.</li> <li class="_13fp8yk6c dzswju0 dzswju2">Partner with quantitative researchers to automate ML experiments, hyperparameter tuning and model retraining.</li> <li class="_13fp8yk6c dzswju0 dzswju2">Work with HPC specialists to optimise workflows, improve training speed and reduce compute cost.</li> </ul> </div> <div> <p class="_13fp8yk6c dzswju0 dzswju2">ML Performance Engineering:</p> <ul> <li class="_13fp8yk6c dzswju0 dzswju2">Build and optimise low-latency inference pipelines, ensuring models deliver real-time predictions in production systems.</li> <li class="_13fp8yk6c dzswju0 dzswju2">Maximise performance in training and inference using GPU hardware and acceleration libraries.</li> </ul> </div> <div> <p class="_13fp8yk6c dzswju0 dzswju2">Across both areas:</p> <ul> <li class="_13fp8yk6c dzswju0 dzswju2">Extend and improve the internals of machine learning frameworks and open-source tools to raise their performance for our workloads.</li> <li class="_13fp8yk6c dzswju0 dzswju2">Design scalable model infrastructure capable of handling high-volume trading data and delivering real-time, high-accuracy predictions.</li> <li class="_13fp8yk6c dzswju0 dzswju2">Evaluate and roll out third-party tools that enhance model development, training and inference capabilities.</li> </ul> </div> <p class="_13fp8yk6c dzswju0 dzswju2"><strong class="_13fp8yk6c dzswju0">Your Skills and Experience:</strong></p> <div> <p class="_13fp8yk6c dzswju0 dzswju2">Core, regardless of focus area:</p> <ul> <li class="_13fp8yk6c dzswju0 dzswju2">3+ years' experience in machine learning, with a focus on training or inference systems.</li> <li class="_13fp8yk6c dzswju0 dzswju2">Production software engineering: Python, testing discipline and genuine ownership of systems once they ship.</li> <li class="_13fp8yk6c dzswju0 dzswju2">Machine learning fundamentals: you understand modern ML workloads beyond high-level APIs and can reason about model behaviour, correctness and performance at the level relevant to your area of expertise.</li> <li class="_13fp8yk6c dzswju0 dzswju2">A systems mindset: you reach for measurement before opinion on performance, scale or reliability issues, and can make sound build-versus-buy decisions.</li> <li class="_13fp8yk6c dzswju0 dzswju2">Strong collaboration: comfortable explaining the reasoning behind your technical decisions, working through differing perspectives with researchers and adapting your approach when the evidence supports it.</li> </ul> </div> <div> <p class="_13fp8yk6c dzswju0 dzswju2">Depth in one or more of the following:</p> <ul> <li class="_13fp8yk6c dzswju0 dzswju2">Distributed training and large-scale systems: parallelism strategy, data pipelines and checkpointing; frameworks such as PyTorch, TensorFlow or JAX.</li> <li class="_13fp8yk6c dzswju0 dzswju2">GPU performance and low-level optimisation: reasoning about memory, compute and latency at the device level, and optimising performance across kernels, compilers and hardware (e.g. CUDA, Triton or equivalent).</li> <li class="_13fp8yk6c dzswju0 dzswju2">Production inference systems: hands-on experience building and hardening real-time, low-latency prediction pipelines in high-performance environments.</li> <li class="_13fp8yk6c dzswju0 dzswju2">Numerics and correctness at scale: low-precision effects, KV caching, batching, and knowing which optimisations stay bit-exact.</li> </ul> </div> <div> <p class="_13fp8yk6c dzswju0 dzswju2">Also a plus:</p> <ul> <li class="_13fp8yk6c dzswju0 dzswju2">Exposure to cloud platforms and orchestration tools.</li> <li class="_13fp8yk6c dzswju0 dzswju2">A track record of contributing to open-source projects in machine learning, data science or distributed systems.</li> </ul> </div><div class="content-conclusion"><p><strong>About Us</strong></p> <p><em>IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.</em></p> <p>&nbsp;</p></div>