AI Research Scientist- Senior Associate

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities.

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 audiences

Benefits

• Comprehensive medical and dental plans, vision coverage, disability and life insurance
• 401(k) plans
• Robust suite of personal well-being benefits to support mental health
• Personal Time Off per fiscal year, based on job classification, standard work hours, and years of service
• Two annual breaks where employees will not be required to use Personal Time Off: one at year end and one around the July 4th holiday
• Paid holidays as per the published calendar

Salary ranges are displayed for locations where required by local/state regulations. The offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications, and market considerations. Additional details about benefits can be found on the KPMG US Careers site at Benefits & How We Work.