Senior Research Engineer

  • New York
  • $750k - $1.5m
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Market leader in their field, with a prominent focus on building robust research and compute infrastructure. The firm is broadly advancing their machine learning capabilities at an alarming pace across the board. This team specifically however are building greenfield AI infrastructure, with a view to producing the most accurate & efficient signals in the industry from an insurmountable cluster of raw data.

The role itself is focused on bridging the gap between research (both quantitative and LLM) and production systems. You’ll have full ownership in partnering with some of the best Researchers on the plant to design and implement trading strategies, interpreting research outputs to implementing optimized systems, ensuring and maintaining an exceedingly high-performance technical environment.

Responsibilities

• Translate quantitative research models into optimized, production-ready trading strategies in C++ and Python
• Design and build scalable quant infrastructure supporting research, backtesting and live strategy deployment
• Partner with infrastructure teams to integrate strategies into low-latency production systems
• Architect and optimize data pipelines that enable fast, reliable access to large scale market and historical datasets
• Investigate and resolve production issues on a daily basis, driving rapid root-cause analysis and fixes
• Optimize system performance with a focus on latency, throughput, and reliability
• Contribute to tooling and architecture that accelerate research-to-production cycles

If you have any questions, we will be happy to answer them.