# Senior AI Engineer at VantageScore Senior AI Engineer at VantageScore in Washington D.C. / New York. Hybrid, full-time. Posted April 29, 2026. - Company: VantageScore - Location: Washington D.C. / New York - Workplace: Hybrid - Job type: Full-time - Experience: 5+ years - Posted: 2026-04-29 - Apply: https://job-boards.greenhouse.io/vantagescore/jobs/4236196009 - Source: https://jobmagic.ai/jobs/senior-ai-engineer-vantagescore-z4e1m0 ## Requirements - Master's or PhD in a quantitative field such as Data Science, Statistics, Computer Science, Engineering, or Econometrics - 5+ years of experience in data science, machine learning, or AI/ML in a research or production environment - Strong programming skills in Python and experience with common data science and ML libraries - Proven experience building and deploying machine learning models (e.g., classification, regression, clustering, neural networks) - Hands-on experience working with large, complex datasets (structured and unstructured) - Experience with GenAI, NLP, and/or Large Language Models (LLMs), including fine-tuning and evaluation - Solid understanding of model validation, performance monitoring, and explainability techniques - Experience translating analytical results into clear, actionable insights for both technical and non-technical stakeholders - Strong problem-solving skills with the ability to navigate ambiguity and deliver business impact ## Description **Senior AI Engineer** Hybrid - Washington D.C. (preferred) or New York, NY **About The Role**  We are seeking a highly motivated and innovative **Senior AI Engineer **to join our brilliant team of analytics professionals and developers, supporting the cutting-edge development of credit scoring models, generation of unique insights, and delivery of transformative technologies rooted in innovative value propositions. You’ll bring your expertise in GenAI/Large Language Models (LLMs) to advance our use of structured and unstructured data to deliver new products and insights. You’ll partner cross-functionally to deliver scalable AI-powered products and solutions that redefine how consumers engage with credit, also ensuring our models are accurate, explainable, and aligned with our mission to empower responsible lending and financial inclusion. *Given team growth, we may hire more than one individual into this role.* **Key Responsibilities** - Conduct advanced research on structured and unstructured data, developing insights to support product management and new product development. - Contribute to the design, development, evaluation, and deployment of machine learning (ML) models, including credit risk and predictive models. - Serve as the team’s expert on GenAI/LLMs, adapting and fine-tuning models and ensuring explainability and compliance. - Drive pilot program analyses, including back-testing, rejection inference, and performance analyses using diverse data sets. - Improve and maintain existing model monitoring processes and develop compelling data visualizations and dashboards to communicate key insights to stakeholders. - Partner with engineers to operationalize models into production systems, ensuring scalability and resilience at high data and inference volumes. - Research and apply emerging AI/ML, GenAI/LLM technologies, staying abreast of state-of-the-art methods, tools, and best practices. - Translate complex analyses into clear, actionable business recommendations for both technical and non-technical audiences. - Contribute to thought leadership through white papers, presentations, and insights shared internally and externally. **Basic Qualifications** - Master's or PhD in a quantitative field such as Data Science, Statistics, Computer Science, Engineering, or Econometrics - 5+ years of experience in data science, machine learning, or AI/ML in a research or production environment - Strong programming skills in Python and experience with common data science and ML libraries - Proven experience building and deploying machine learning models (e.g., classification, regression, clustering, neural networks) - Hands-on experience working with large, complex datasets (structured and unstructured) - Experience with GenAI, NLP, and/or Large Language Models (LLMs), including fine-tuning and evaluation - Solid understanding of model validation, performance monitoring, and explainability techniques - Experience translating analytical results into clear, actionable insights for both technical and non-technical stakeholders - Strong problem-solving skills with the ability to navigate ambiguity and deliver business impact   **Preferred Skills & Experience** - Experience in credit risk modeling, financial services, or fintech - Understanding of fairness, bias mitigation, and responsible AI practices in high-stakes decision systems - Hands-on experience with explainability techniques (e.g., SHAP, LIME, feature attribution, surrogate models) - Experience deploying and maintaining ML models in production environments, including monitoring, retraining, and performance tracking - Track record of publishing research, white papers, or contributing to thought leadership **Additional**                            - Salary: 150K-170K/year, with a potential bonus - Generous Benefits: 401(K) matched up to 7%, Flexible Time Off, 12 Paid Holidays, Medical/Dental/Vision/Wellness benefits, Monthly Team Events, Modern Work/Collaboration Spaces  **Join Us and Be the Catalyst of Change in Fintech!** Are you a Sr. AI Engineer who thrives on innovation and has a deep passion for fintech? We invite you to take the leap and join our team. Together, let's embark on a mission to redefine the industry and propel your career to new heights at VantageScore!