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Invariant Research Linkedin · Posted 11d ago

AI/ML Engineer for Quantitative Research Systems

Baxter

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Indexed description

Design advanced AI infrastructure and research systems to develop, train, and deploy models for high-performance trading and market insights.

Key Responsibilities

  • Emphasize building the backbone of AI-driven trading through research-oriented engineering.
  • Develop and implement advanced AI models to optimize market predictions.
  • Engineer low-latency systems to ensure efficient trade execution.
  • Collaborate on data-driven research to uncover trading insights.

Qualifications And Skills

  • Expertise in AI/ML, quantitative finance, or systems engineering.
  • Proficiency in Python, C++, and system development.
  • Experience with designing and implementing low-latency systems.
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