AI Research Scientist- Senior Associate

Responsibilities

• Execute applied research by building, testing, and refining components for AI models, advanced agent patterns, and knowledge retrieval systems under the guidance of senior team members
• Collaborate hands-on with AI engineers to implement research prototypes and integrate successful models and techniques into our production microservice architecture
• Leverage experimentation framework to measure, validate, and ensure the quality and reliability of AI-driven outcomes
• Contribute to the team's research agenda by implementing and evaluating new techniques from academic literature and industry trends to help drive product innovation
• Support the model training lifecycle by preparing datasets, running training jobs, and performing detailed evaluations to improve model performance
• Develop and document research findings and prototypes, clearly communicating results to technical peers and contributing to the team's collective knowledge base

Qualifications

• Minimum three years of recent relevant experience in an applied AI or data science role with a focus on NLP, machine learning, or a related field
• Bachelor's degree from an accredited college or university; master's degree from an accredited college or university in Computer Science, Data Science, Statistics, or a related quantitative discipline; Ph.D. is a plus
• PRACTICAL expertise in key research areas such as knowledge retrieval (RAG), AI agent architecture, and techniques for fine-tuning and evaluating language models
• EXPERIENCE designing and implementing the end-to-end lifecycle for AI models, including data processing, labeling, training, and production deployment (MLOps)
• WORKING experience prototyping and experimenting with modern AI frameworks like LangChain/LangGraph or Semantic Kernel
• EXCEPTIONAL ability to translate ambiguous business challenges into defined research problems and articulate complex findings and their strategic implications to both technical and executive audience