Senior Machine Learning Engineer - Risk Modeling

Summary

Join EarnIn, a pioneer in earned wage access, and contribute to our transformative phase by developing groundbreaking solutions in financial risk modeling. This remote, full-time position offers a base salary of $209,000-$255,400, plus equity and benefits. You will design, develop, and deploy risk models, enhance credit and fraud models, monitor model health, and explore advanced technologies like deep learning and LLMs. The role requires strong collaboration and leadership to foster operational excellence. EarnIn is committed to building a diverse and inclusive team.

Requirements

• Bachelor’s/Master’s in Computer Science, Engineering, or equivalent industry experience
• 4+ years of machine learning experience with strong software engineering skills
• Experience with Risk modeling for financial use cases is required
• 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
• A passion for continuous learning and personal growth in a dynamic work environment

Responsibilities

• Design, develop, A/B test, and deploy risk models while collaborating with data scientists to drive data-driven decisions
• Enhance credit and fraud models by incorporating innovative features on a quarterly basis and leveraging the latest industry research
• Monitor feature and model health, and communicate changes in model decisions
• Explore and integrate advanced technologies, including deep learning and LLMs, in the risk domain
• Lead by example to foster operational excellence and transformative change
• Expand responsibilities as new products emerge

Preferred Qualifications

Proficiency in ML techniques (LLMs, deep learning, sequence, and tree-based models); credit/fraud risk and portfolio management knowledge is a plus

Benefits

• Equity
• Benefits
• Remote work