# Research Scientist

**Company**: Compliance Technology Innovation
**Location**: New York, NY
**Experience**: senior
**Job type**: full-time
**Salary**: $175,000 to $250,000
**Category**: IT
**Industry**: Finance

**Apply**: https://mlp.eightfold.ai/careers/job/755956718561?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_ddbd4c9c-348

## Description

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.

## Skills

### Required
- Machine Learning
- Deep Learning
- Natural Language Processing
- Python
- PyTorch
- TensorFlow
- JAX
- scikit-learn
- LLMs
- Generative AI
- Agentic Systems
- Cloud Platforms
- Vector Databases
- Big Data Ecosystems
- MLOps
- LLMOps

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