Senior Machine Learning Engineer: ML Algorithms
Description For Senior Machine Learning Engineer: ML Algorithms
EarnIn, a pioneer in earned wage access, is seeking a Senior Machine Learning Engineer to join their innovative fintech team. This role is crucial in developing and implementing machine learning solutions for financial risk modeling, directly impacting the company's mission to provide real-time financial flexibility to those living paycheck to paycheck.
The position offers a competitive salary range of $232,200 - $283,800, plus equity and benefits, and is based in Mountain View with a hybrid work arrangement requiring 2 days in office per week. The role sits at the intersection of machine learning and financial services, where you'll be responsible for designing and deploying risk models, enhancing credit and fraud detection systems, and exploring cutting-edge technologies including deep learning and LLMs.
The ideal candidate will bring 4+ years of machine learning experience, strong software engineering skills, and specific expertise in risk modeling for financial use cases. Technical proficiency in Python, SQL, and major ML frameworks is essential, as is experience with cloud platforms like AWS Sagemaker, Databricks, or GCP Vertex AI.
EarnIn is backed by prestigious investors including A16Z, Matrix Partners, DST, and Ribbit Capital, offering a stable yet dynamic environment for growth. The company values diversity and maintains an inclusive culture, seeking to build a team that represents their diverse community. This role presents an opportunity to make a significant impact on financial technology while working with cutting-edge ML applications in a mission-driven organization.
Responsibilities For Senior Machine Learning Engineer: ML Algorithms
- Design, develop, A/B test, and deploy risk models while collaborating with data scientists
- Enhance credit and fraud models by adding innovative features quarterly
- 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 product needs arise
Requirements For Senior Machine Learning Engineer: ML Algorithms
- Bachelor's/Master's in Computer Science, Engineering, or related
- 4+ years of machine learning experience with strong software engineering skills
- Experience with Risk modeling for financial use cases
- 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
- Excellent communication and collaboration abilities
- A passion for continuous learning and personal growth
Benefits For Senior Machine Learning Engineer: ML Algorithms
- Equity
- Benefits
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