Senior Applied Machine Learning Engineer
Posted 1 month ago Expired
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Upload Your ResumeAbout This Role
This role involves developing groundbreaking foundational ML Models and solutions within the fintech domain, generating substantial business and social impact. The position focuses on innovating and setting new standards in ML applications, particularly in the area of risk modeling.
Responsibilities
- Design, develop, A/B test, and deploy models while collaborating with data scientists to drive data-driven decisions
- Enhance models by incorporating innovative features every quarter 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
Requirements
- 4+ years of machine learning experience with strong software engineering skills
- 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
Qualifications
- Bachelor’s/Master’s in Computer Science, Engineering, or equivalent industry experience
- 4+ years of machine learning experience with strong software engineering skills
Nice to Have
- Experience with Risk modeling for financial use cases
- A passion for continuous learning and personal growth in a dynamic work environment
Skills
* Required skills
Benefits
About EarnIn
EarnIn is a fast-growing fintech company that provides earned wage access, allowing community members to access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks.