Research Scientist

The Research Scientist role is part of the Information Technology team at Millennium, a global alternative investment firm. The team builds and advances flexible, scalable technology and proprietary systems that power next-generation analytical, data, and trading capabilities.

Responsibilities:

• Build, test, and deploy production-grade AI and machine learning solutions using classical methods and generative AI approaches.
• Conduct applied research to evaluate new AI and machine learning techniques for complex business problems.
• Design and implement evaluation frameworks to measure model quality, robustness, reliability, and business impact.
• Partner with product managers, data engineers, and business stakeholders to translate research findings and business needs into scalable solutions.
• Contribute to real-time and batch data pipeline workflows and support monitoring, logging, metrics, and guardrails.
• Communicate technical concepts and research outcomes clearly to technical and non-technical audiences.
• Stay current with emerging AI and machine learning developments and apply relevant advances thoughtfully.
• Maintain high standards for code quality, documentation, and review practices.

Requirements:

• 3+ years of industry or applied research experience, along with an MS or PhD in Computer Science, Data Science, Statistics, Operations Research, or a related STEM field.
• Strong foundation in machine learning, deep learning, natural language processing, statistical analysis, algorithms, and data structures.
• Hands-on experience building and deploying AI and machine learning solutions, including LLMs, generative AI, and agentic systems.
• Strong Python programming skills and experience with frameworks such as PyTorch, TensorFlow, JAX, or scikit-learn.
• Familiarity with LLM and AI application frameworks such as Hugging Face, LangChain, and LlamaIndex.
• Experience working with at least one cloud platform, along with knowledge of vector databases, big data ecosystems, and MLOps or LLMOps tooling.
• Exposure to AI-assisted coding tools such as Claude, Codex, GitHub Copilot, or Cursor.
• Strong communication skills, sound judgment, and the ability to work independently and learn quickly.

Salary Range: The estimated base salary range for this position is $175,000 to $250,000.