TL;DR

Senior Machine L%hirify_global%g Engineer (Risk): Developing groundbreaking solutions through financial risk modeling, generating substantial business and social impact. Focus on incorporating innovative features, leveraging the latest industry research, and integrating advanced technologies like deep l%hirify_global%g and LLMs.

Location: This is a hybrid position requiring 2 days a week in our Mountain View office

Salary: $232,200 - $283,800

Company

%hirify_global% builds products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck.

What you will do

Design, develop, A/B test, and deploy risk models while collaborating with data scientists.
Enhance credit and fraud models by incorporating innovative features and leveraging the latest industry research.
Monitor feature and model health, and communicate changes in model decisions.
Explore and integrate advanced technologies, including deep l%hirify_global%g and LLMs, in the risk domain.
Foster operational excellence and transformative change.

Requirements

Bachelor’s/Master’s in Computer Science, Engineering, or equivalent industry experience.
4+ years of machine l%hirify_global%g experience with strong software engineering skills.
Experience with Risk modeling for financial use cases is required
Proficiency in ML techniques (LLMs, deep l%hirify_global%g, sequence, and tree-based models); credit/fraud risk and portfolio management knowledge is a plus.
Advanced Python programming, SQL, and data manipulation skills.
Experience with ML frameworks (TensorFlow, PyTorch) and cloud platforms (AWS Sagemaker, Databricks, GCP Vertex AI).
Excellent communication and collaboration abilities.

Culture & Benefits

Team represents diverse community and perspectives.
Strive to create a culture of belonging.

Senior Machine Learning Engineer (Risk)