New

AI Research Scientist- Senior Associate

KPMG
life insurance, 401(k)
United States, New Jersey, Montvale
3 Chestnut Ridge Road (Show on map)
Oct 17, 2025
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. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team. KPMG is currently seeking an AI Research Scientist to join our Audit Technology Alliance organization. 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 KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any 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. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work. Follow this link to obtain salary ranges by city outside of CA: https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=7502_9_25 KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.