Careers
Work on the hardest problems in markets.
DB Macro Research brings together researchers and engineers to build frontier AI for financial markets. We test hypotheses with rigor and promote the ones that work — you'll have real ownership and see your work running in live markets.Open rolesPush frontier AI for trading — building models that reason and act under uncertainty, turning vast and noisy data into signal, and owning ideas end to end.Own our models in production — training, serving, and the data that feeds them. You'll turn research into reliable, high-throughput systems and work shoulder to shoulder with researchers.
Machine Learning Researcher
Remote
Full-time
Research
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What we look for
—PhD in computer science, statistics, or a computational field, with published research in artificial intelligence
—Designed, trained, and shipped deep learning models to production
—Built reinforcement-learning systems for partially observable, high-dimensional environments
—A working command of game theory and multi-agent settings
—Worked hands-on with large language models and agentic systems
—Modeled non-stationary data and time series
—Strong experimental design and hypothesis testing
—Large-scale and distributed optimization
—Pulled signal from noisy, unstructured data
—Done this at scale in domains with sequential decision-making — robotics, control, recommendation, or games; markets experience welcome, not required
—A deep curiosity for financial markets
—At least five years of experience in production environments
Machine Learning Engineer
Remote
Full-time
Engineering
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What we look for
—Master's in Computer Science with machine learning coursework
—Strong software engineering — production-grade Python is required; C++, Go, or JAX a plus
—Trained and fine-tuned models, and shipped them to production
—Model serving, inference, and MLOps at scale
—Data engineering — robust pipelines and feature stores
—Expertise across the AI/ML lifecycle, from data to training to deployment to monitoring
—Distributed systems and performance engineering
—Worked with large-scale, real-time data
—A reliability and quality mindset for systems in production
—Shipped alongside researchers, not in a silo
—At least five years of experience in production environments