AI Research Scientist - Trading | Frontier AI Research – Miami – $500K to $1.5M+

AI Research Scientist - Trading | Frontier AI Research – Miami – $500K to $1.5M+I am recruiting for a leading global quantitative trading firm that is making a major investment in AI andMachine Learning research.They are looking for exceptional AI Research Scientists / Research Engineers to work on some of the most challenging predictive modelling problems in the industry.This is not a traditional quantitative finance role. You do not need previous experience in trading or financial markets.The team is particularly interested in researchers coming from leading AI labs, Big Tech research teams, frontier model companies and top academic environments.The job:You will work on open-ended AI research problems where improvements in model quality can have a direct and measurable impact in production.The work sits at the intersection of:Deep LearningFoundation ModelsLarge-scale predictive modellingRepresentation LearningTransformers / Sequence ModellingReinforcement LearningLarge-scale ML systemsHigh-performance computingDepending on your expertise, you could work on:Designing new deep learning architectures for complex predictive problemsTraining models on extremely large, noisy and high-dimensional datasetsImproving model architectures, representations, objectives and training methodologiesExtending prediction horizons and improving model generalizationDeveloping Transformer-based and other modern sequence modelling approachesLarge-scale model training and distributed experimentationApplying recent advances in foundation models and reinforcement learning to new problem domainsImproving training efficiency and experimentation at scaleBuilding research infrastructure and tooling used by other researchersTaking research projects from initial hypothesis through experimentation and into productionThis is a highly research-driven environment, but researchers are expected to remain close to implementation.You should enjoy both developing new ideas and making them work at scale.Strong candidates will typically have:A Master's or PhD in Computer Science, Machine Learning, Mathematics, Statistics, Physics or a related disciplineStrong experience designing, training and debugging modern deep learning modelsExcellent Python skills and experience with PyTorch and/or JAXStrong understanding of modern ML researchExperience designing rigorous experiments and evaluating complex modelsStrong software engineering fundamentalsParticularly relevant experienceAny of the following would be highly relevant:Pre-training or post-training of large modelsLarge-scale distributed trainingTransformer architecture researchTime-series or sequential modellingReinforcement LearningModel architecture researchGPU / accelerator optimisationCUDA / TritonHigh-performance ML infrastructureLarge-scale experimentationResearch publications at NeurIPS, ICML, ICLR, ACL, KDD, AAAI or equivalentCompensation: $500K to $1.5M, total compensation, depending on experience and seniority.Exceptional candidates can be considered above this range.LocationMiami, FloridaRelocation support can be provided.If you are currently working in a leading AI research lab, frontier model company, Big Tech research team or top academic environment and would be interested in applying your research to a completely different class of problems, feel free to contact me directly.