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Build and own machine learning infrastructure supporting deep learning research and production trading systems. Responsibilities include improving training frameworks, datasets, data pipelines, distributed training, experiment tracking, reproducibility, observability, GPU infrastructure, and model deployment tooling. The role partners closely with researchers to remove bottlenecks, debug complex systems, improve reliability and performance, and convert research prototypes into scalable production implementations.

As a Junior Quantitative Researcher, you will develop and optimize trading algorithms, analyze market strategies, and collaborate with developers to enhance trading opportunities.

As a C++ Developer Intern, you will assist experienced engineers in solving multi-threaded computing challenges and optimizing code for performance, while potentially working on low-latency trading projects.

Lead and grow an ML infrastructure team building training frameworks, dataset pipelines, orchestration, experiment tracking, GPU/compute infrastructure, and release tooling to scale deep learning research into production. Drive performance, reliability, reproducibility, hire and mentor engineers, collaborate closely with researchers, and contribute hands‑on code to reduce training time and improve hardware utilization.

The Research Analyst will optimize production systems using advanced analytics and machine learning, focusing on statistical analysis, performance metrics, and data-driven decision-making.

Conduct original research in AI and machine learning, develop deep learning architectures, analyze large datasets, and explore new methodologies.

Design and maintain high-performance trading systems, optimize algorithms and hardware, and collaborate with teams to enhance trading operations.

Lead the development and research of AI models to predict financial prices, supervise researchers, and enhance DL strategies in the financial industry.

The Lead Quantitative Developer will oversee the team's strategy codebase, mentor engineers, manage priorities, drive alignment with infrastructure, and enhance research cycles using AI tools.

As a Junior Deep Learning Researcher, you will conduct AI research, develop deep learning architectures, analyze datasets, and collaborate on trading strategies.