Staff AI/ML Engineer (Fintech)

Location: San Francisco, CA, USA; four days a week in the office and Fridays from home for employees near an office

Salary: $246,000–$340,000 USD base salary

Company

hirify.global is a financial technology company that provides user-friendly banking services and financial tools to help members improve their financial progress.

What you will do

• Lead the design, training, deployment, and iteration of deep learning and classical machine learning underwriting models.
• Build credit decision systems for approval, line assignment, and loss forecasting using transaction and cash flow data.
• Own the full machine learning lifecycle, including problem framing, evaluation, deployment, monitoring, and retraining.
• Design feature pipelines, batch and real-time inference systems, and production monitoring infrastructure.
• Partner with Product, Engineering, Analytics, and Risk to translate ambiguous business problems into measurable ML solutions.
• Set the technical roadmap for Lending ML through design reviews, mentorship, and shared development and governance standards.

Requirements

• Experience leading the design and production deployment of deep learning models, including multi-quarter initiatives spanning multiple teams.
• Strong fundamentals in classical modeling, evaluation design, experimentation, optimization, and production monitoring.
• Experience handling real-world data issues such as label definition, leakage, class imbalance, and train/serve skew.
• Strong proficiency in Python and SQL, with experience using PyTorch and Spark or PySpark.
• Working knowledge of AWS, SageMaker, Airflow, Kafka, Redis, Snowflake, and modern ML infrastructure.
• Ability to work independently, influence technical direction, and explain model decisions to engineering, risk, and senior leadership stakeholders.

Nice to have

• Experience with credit or underwriting models, model governance, explainability, fairness testing, or adverse action reason codes.
• Experience building cash flow or alternative-data underwriting features from bank transaction data.
• Production experience deploying transformer models.

Culture & Benefits

• Hybrid in-office policy with four office days and Fridays from home near company offices.
• Fully remote programs are available for eligible employees.
• Health, financial, wellbeing, backup care, commuter, and family planning benefits.
• Generous vacation, company-wide paid days off, wellness stipend, and paid parental leave.
• Opportunity to work on financial products used by millions of members.