Senior AI Engineer
At a glance
Senior AI Engineering role at vantagescore. Washington D.C. · full-time · $150,000–$170,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Explore structured and unstructured data for insights that guide product decisions and new product development
- Build, test and deploy machine learning models, including credit-risk and predictive models
- Adapt and fine-tune GenAI and language models, with attention to explainability and compliance
- Analyze pilots through back-testing, rejection inference and performance reviews, then maintain model monitoring and dashboards
- Work with engineers to bring models into scalable production systems and explain findings to technical and business audiences
What you bring
- A master's or doctorate in a quantitative discipline such as data science, statistics or computer science
- At least five years in data science, machine learning or AI/ML research or production work
- Strong Python skills and a record of building and deploying machine learning models
- Experience with complex structured and unstructured data, plus GenAI, NLP or language-model tuning and evaluation
Who this fits
This senior role suits someone who can combine model development with GenAI expertise and communicate analysis to both technical and non-technical audiences. Washington, D.C. is the preferred hybrid location, with New York also listed.
From the employer
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!