Wait, What Do You Do?

As a Machine Learning Engineer Intern at Optiver, you’ll work alongside experienced engineers on high-performing systems that respond to live financial markets in real time. You’ll contribute to the compute platforms and libraries that support large-scale machine learning model training and simulation workloads, gaining hands-on experience applying modern ML techniques to real quantitative trading problems. Within weeks, you could be building tools or models that run in production and directly support our trading strategies. By the end of the 8-week internship, you’ll have a clear and practical understanding of how technology and ML techniques are used in the quantitative trading industry. Plus, if you’ve excelled over the summer, you’ll receive an offer to return as a Machine Learning Engineer.  What you’ll do: Led by our in-house education team that consists of ex-traders and engineers, you’ll delve into advanced engineering concepts and lead innovative projects, during our world-class training program. In just a few weeks, you'll have the opportunity to: <ul class="ak-ul" data-local-id="36c0ba47-52f6-4fa1-956b-7e1adc00d2f0" data-indent-level="1"> <li> Gain first-hand experience applying the latest ML methodologies to quantitative trading problems. </li> <li> Help build the compute platform and libraries for large scale ML model training and simulation workloads. </li> <li> Manage a project end-to-end, learn how to work with a complex code base and make impactful contributions to production systems. </li> <li> Work on real trading and IT problems, both technically and functionally, to improve our trading success. </li> </ul> Throughout the program, you'll be paired with an experienced mentor, who will show you the ins-and-outs of our trading systems, and provide you with guidance and feedback. Additionally, internal resources will be available for your continuous learning and development. What you’ll get: You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Driven by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the most complex problems in the financial markets. In addition, you’ll receive: <ul class="ak-ul" data-local-id="c29e985c-eba2-439e-8ef6-53505b48f35d" data-indent-level="1"> <li> A highly competitive remuneration package. </li> <li> Optiver-covered flights and accommodation for the duration of the internship. </li> <li> The opportunity to work alongside diverse and intelligent peers in a rewarding environment. </li> <li> Training, mentorship and personal development opportunities. </li> <li> Gym membership, plus weekly in-house chair massages. </li> <li> Daily breakfast, lunch and in-house barista. </li> <li> Regular social events. </li> </ul> Who you are: <ul class="ak-ul" data-local-id="4acd6659-3ac3-4de2-9b90-ad2510965230" data-indent-level="1"> <li> Students graduating in 2028 or later. </li> <li> Foundations in Machine Learning, including optimisation and deep learning concepts. </li> <li> Hands-on experience with deep learning frameworks such as PyTorch, JAX, or similar. </li> <li> Interested in building scalable and reproducible machine learning pipelines, including data preprocessing, training, evaluation, and experiment tracking. </li> <li> Natural problem solvers who love tackling a complex technical challenge. </li> <li> Team players who thrive in collaborative environments and are eager to learn, iterate, and improve. </li> <li> Interested in the trading / quantitative finance industry (prior finance knowledge is not required). Optional: </li> <li> Ability to identify and reason compute and performance bottlenecks, using profiling, benchmarking, and systematic analysis to improve training efficiency. </li> <li> Experience with distributed training or GPU acceleration is a plus. </li> <li> Familiarity with experiment management tools (e.g. MLflow, Weights & Biases) or workflow orchestration is a plus. </li> </ul> How to apply: Don’t miss your chance to accelerate your career and thrive on one of the most dynamic trading floors in mainland China. Apply now via the form below. In your application, please submit the following materials in English: <ul class="ak-ul" data-local-id="1b86706b-d96b-4a3e-820c-e86936be8590" data-indent-level="1"> <li> Resume </li> <li> Cover letter (optional) </li> </ul> Questions? Please email <a href="mailto:chinacareers@optiver.com.au" data-renderer-mark="true" data-is-router-link="false" data-testid="link-with-safety">chinacareers@optiver.com.au</a>. We accept one application per role per year. If you have previously applied to this position during this season and have been unsuccessful, you can re-apply when the next recruitment season begins in 2027.   Diversity statement Optiver is committed to <a class="_2hGPVj98eZ _2i3C1kYbGa _2kH23qT6kp _1ubuxonXvL _34b3D2vc3e _1NDpvb6wH8 _2wtOC9vc3e _3e11vU6wH8 _0hSAgbHZdu _00uqCY98eZ _3xtjKN0Rl6 _0H9qDF6wH8 _24h04i2Njc _1mT5xdRAKS _0WKd3G4z3T _0bjKvDcjp5 _1UtDYzM7Tp _32C2rk98eZ _0i9AWA0Rl6 _0mm6KQ6wH8 _10n1R5M7Tp _0DCa9D98eZ _3932vvYbGa _02cRtH6wH8 _0clgaMM7Tp _3WzCGi98eZ _0NqVRtYbGa _3BKYwu6wH8 _0CMRbkAwSC _2nTuUYWfPD _3ADzdEWfPD _1warJ9WfPD _4scvAwWyeI" href="https://optiver.com/diversity-statement/" data-renderer-mark="true" data-is-router-link="false" data-testid="link-with-safety">diversity and inclusion</a>. We encourage applications from candidates of all backgrounds, and welcome requests for reasonable adjustments during the process. 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2027 Shanghai Machine Learning Engineer Summer Internship