【Millennium Management】Quant Research Engineer
仕事内容
https://mlp.eightfold.ai/careers/job/755957640548
Key Responsibilities
Core Infrastructure Ownership:
• Design, build, and maintain the firm’s core quant pipelines, data infrastructure, and research and production compute environments.
• Ensure the reliability, scalability, and performance of critical systems central to our research and trading activities.
• Drive the architectural vision for our next-generation data and compute platform — including how AI-native capabilities (LLM services, agentic workflows, retrieval infrastructure) are embedded into the research stack.
Collaboration & Integration:
• Partner directly with Quantitative Researchers and other development teams to understand their requirements and integrate new components into the core infrastructure.
• Act as a central point of expertise, facilitating the seamless flow of data and computation across teams and systems.
• Identify where AI can accelerate the research process — from literature ingestion and data exploration to signal prototyping — and build the tooling that makes it routine.
• Establish and enforce rigorous standards for system design, code quality, testing, and deployment.
DevOps & AI-Augmented Operations:
• Own the deployment, monitoring, and operational health of production and research systems.
• Implement robust observability, logging, and alerting frameworks; apply AI-assisted techniques (automated log analysis, anomaly detection, intelligent incident triage) to raise the bar on reliability.
• Drive infrastructure-as-code practices and automate operational workflows, leveraging AI coding agents and LLM tooling where they demonstrably improve velocity and quality.
応募資格(必須経験など)
Preferred Candidate Profile
• Top-tier academic background from a globally top-20 university (e.g., MIT, Harvard, Princeton, Stanford, Caltech)
• PhD-level training in Computer Science, Engineering, Physics, Mathematics, or Statistics preferred
• Gold medal in a national or international olympiad (IMO, CMO, IOI, NOI, IPhO, CPhO) strongly preferred
• Prior experience at a top-tier quantitative trading firm or a leading AI/technology company preferred
• Demonstrated passion for applying AI — candidates who have built LLM-powered tools into their own research or engineering workflow stand out