Senior Staff Credit AI Scientist (Fintech)

TL;DR

Senior Staff Credit AI Scientist (Fintech): Developing and deploying advanced credit risk AI/ML models for consumer lending products with an accent on deep learning, model interpretability, and regulatory compliance. Focus on building scalable data pipelines, implementing agentic AI workflows for model lifecycle automation, and driving data strategy across lending domains.

Location: Must be based in Mountain View, California

Salary: $226,000–$306,000

Company

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

What you will do

• Design, build, and deploy machine learning models to predict credit risk for short-term lending products.
• Collaborate with credit policy and fraud risk teams to align models with business goals and lending decisions.
• Develop efficient data pipelines for feature generation, model training, and scoring using Python and SQL.
• Ensure model fairness, interpretability, and compliance with regulatory frameworks like FCRA and ECOA.
• Implement agentic AI workflows to automate the end-to-end model development lifecycle.
• Contribute to the evolution of machine learning infrastructure within the hirify.global ecosystem.

Requirements

• Advanced Degree (Ph.D. or MS) in Computer Science, Data Science, AI, or a related quantitative field.
• 8+ years of work experience in AI Science or Machine Learning.
• Authoritative knowledge of Python and SQL.
• Deep expertise in fintech credit risk, payment systems, and lending products.
• Proven experience developing and deploying deep learning, tree-based, and time-series models.
• Strong understanding of credit risk modeling concepts such as PD calibration and risk segmentation.

Nice to have

• Proficiency in deep learning frameworks like TensorFlow or PyTorch.
• Experience with public cloud platforms (GCP or AWS) and MLOps tools like Vertex AI or SageMaker.
• Knowledge of LLMs, prompt engineering, and orchestration frameworks like LangChain.
• Experience with experimentation design and A/B testing.

Culture & Benefits

• Competitive compensation package including cash bonus and equity rewards.
• Commitment to fair pay through regular comparisons across ethnicity and gender.
• Opportunity to work on high-impact financial products used by millions.
• Collaborative environment focused on innovation and cutting-edge AI research.