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Job Description
EarnIn is seeking a Senior Machine Learning Engineer to join their team and drive innovation in ML applications within fintech, specifically focusing on financial risk modeling. This role is pivotal in developing groundbreaking solutions that have a significant business and social impact. The ideal candidate will possess strong machine learning and software engineering skills, with experience in risk modeling for financial use cases.
What This Role Involves:
- Designing, developing, A/B testing, and deploying risk models.
- Enhancing credit and fraud models with innovative features.
- Monitoring feature and model health and communicating changes.
- Exploring and integrating advanced technologies like deep learning and LLMs.
- Fostering operational excellence and transformative change.
- Expanding responsibilities as new product needs arise.
Requirements:
- Bachelor’s/Master’s in Computer Science, Engineering, or related field.
- 4+ years of machine learning experience with strong software engineering skills.
- Experience with Risk modeling for financial use cases is required.
- Proficiency in ML techniques (LLMs, deep learning, sequence, and tree-based models).
- 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.
What EarnIn Offers:
- Base salary range of $232,200 - $283,800.
- Equity and benefits.
