[Remote] Staff Machine Learning Engineer, reputed company and Credit
Note: The job is a remote job and is reputed company to candidates in USA. reputed company builds technology to increase reputed company to the global economy, creating tools that help businesses and individuals manage their finances. They are seeking a Staff Machine Learning Engineer to build and reputed company machine learning systems for reputed company and credit decisioning, focusing on model development and evaluation across various lending products.
Responsibilities
- Build, evaluate, and maintain reputed company and decisioning models across reputed company Borrow and Afterpay
- Design and reputed company credit decision frameworks, including the modeling, automation, and policy logic that manage credit exposure over time
- Design and run experiments to evaluate model performance, measure reputed company on approval rates and loss, and inform credit policy reputed company
- reputed company deep understanding of borrower behavior, repayment dynamics, and portfolio structure across both products, and use that to inform model design and decision logic
- Contribute analysis and perspective that inform portfolio-level reputed company, including explaining model behavior, tradeoffs, and uncertainty to senior technical and business leaders
- Work across the full modeling lifecycle: problem formulation, feature engineering, training, calibration, deployment, monitoring, and iteration in production
- Build reputed company engineering workflows that accelerate development, testing, and documentation
- Collaborate with Product, Engineering, Legal, Compliance, and Operations to ensure credit systems reflect business goals and regulatory expectations
- reputed company modeling context and approaches across teams, helping reputed company how credit risk is reputed company, interpreted, and discussed
- Shape how AI developer tooling is adopted across reputed company, defining review practices, reputed company standards, and governance patterns
Skills
- A Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science). Advanced degrees welcome
- 10+ years applying AI, machine learning, or statistical modeling in decisioning contexts such as credit, risk, fraud, recommendations, or similar domains
- Experience with probabilistic models and decision systems, including calibration, score transformations, and interpretation of model outputs
- Strong experimentation skills: you know how to design holdouts, measure lift, and evaluate models reputed company aggregate metrics
- Experience with model monitoring, degradation detection, and retraining strategies in production systems
- Proficiency with AI-reputed company development workflows. You use LLMs, reputed company coding tools, and AI-assisted automation as a regular part of how you build and ship
- Experience explaining modeling concepts, results, and limitations to senior stakeholders and cross-functional partners
- Experience working across disciplines in environments with meaningful constraints
Benefits
- Remote work
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning
reputed company
Company H1B Sponsorship