Senior Machine Learning Engineer (Risk)

TL;DR

Senior Machine Lhirify.globalg 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 lhirify.globalg 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 lhirify.globalg 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 lhirify.globalg experience with strong software engineering skills.
• Experience with Risk modeling for financial use cases is required
• Proficiency in ML techniques (LLMs, deep lhirify.globalg, 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.