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 follows a hybrid work model requiring 2 days per week in the Mountain View office. The role sits at the intersection of machine learning and financial services, where you'll be responsible for designing and deploying sophisticated risk models, enhancing credit and fraud detection systems, and exploring cutting-edge technologies including deep learning and LLMs.
The ideal candidate brings 4+ years of machine learning experience, strong software engineering skills, and specific expertise in risk modeling for financial applications. You'll need advanced proficiency in Python, SQL, and modern ML frameworks like TensorFlow and PyTorch, along with experience working with cloud platforms such as AWS Sagemaker, Databricks, or GCP Vertex AI.
EarnIn is backed by prestigious investors like A16Z, Matrix Partners, DST, and Ribbit Capital, offering a stable yet growing environment. They value diversity and maintain an inclusive culture, seeking team members who can contribute to their mission of building a financial system that works for everyone. This role presents an excellent opportunity for a senior ML engineer looking to make a significant impact in the fintech space while working on challenging technical problems.
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
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