Staff AI Scientist (Fintech)

TL;DR

Staff AI Scientist (Fintech): Developing cutting-edge credit risk AI/ML models for new lending products with an accent on deep learning techniques and the full model lifecycle. Focus on designing high-performance predictive models, building reusable data pipelines, and implementing Agentic AI to automate the development lifecycle.

Location: Atlanta, Georgia

Company

hirify.global is a global financial technology platform that powers prosperity for millions of customers through products like TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Own the full lifecycle of credit risk AI/ML models for short-term lending products, including design, deployment, and monitoring.
• Develop next-generation models using advanced deep learning techniques such as transformers and sequence modeling on financial data.
• Build efficient, reusable data pipelines for feature generation, scoring, and reporting using Python and SQL.
• Ensure model fairness, interpretability, and strict compliance with regulatory frameworks like FCRA and ECOA.
• Design and deploy AI agents and orchestration workflows (Agentic AI) to automate the end-to-end model development lifecycle.
• Collaborate with credit policy, product, and fraud risk teams to align models with business goals and actionable lending decisions.

Requirements

• Location: Must be based in Atlanta, Georgia
• Advanced Degree (Ph.D. or MS) in Computer Science, AI, Mathematics, Statistics, Physics, or a related quantitative field.
• 4+ years of professional experience in AI Science and Machine Learning.
• Deep expertise in fintech credit risk, payment systems, banking, and lending.
• Hands-on experience with deep learning (transformers, sequence modeling), tree-based models, and NLP.
• Authoritative knowledge of Python and SQL.

Nice to have

• Proficiency in ML frameworks such as PyTorch or TensorFlow.
• Experience with GCP or AWS and MLOps tools like Vertex AI or SageMaker.
• Knowledge of LLMs, RAG, and orchestration frameworks like LangChain or LangGraph.
• Experience building cash flow modeling pipelines from bank aggregator data (e.g., Plaid, Finicity).
• Experience with A/B testing and statistical experimentation design.

Culture & Benefits

• Competitive compensation package.
• Strong pay-for-performance rewards approach including cash bonuses.
• Equity rewards and comprehensive corporate benefits.
• Commitment to fair pay and diversity across ethnicity and gender.