AI Engineer
US$150,000 – US$170,000 / yr base salary
Posted 30 Apr 2026
Advertised as “Senior AI Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
| Base salary | US$150,000 – US$170,000 / yr |
|---|
Field of studyComputer Science, Data Science, Econometrics, Engineering, Statistics
Study levelMaster's or higher
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