
Advanced Machine Learning Engineer
2 days ago
Optimizing financial access for all is at the core of our mission-driven team. We're a socially conscious organization that leverages data science to drive innovation in emerging markets.
Our PurposeOur team, led by the founder and former CEO of Kiva.org, believes everyone deserves fair financial opportunities. We value decentralized decision-making and empower everyone to propose solutions to the challenges we face.
As a machine learning engineer, you'll collaborate with other engineers, product managers, and underwriters to develop and deploy models that solve complex optimization problems.
Machine learning sits at the intersection of computer science, statistics, operations research, data science, and more. We emphasize software engineering skills and experience for this role.
Key Responsibilities- Credit Decisions: You'll build signals from unstructured and structured data to identify good borrowers and inform credit decisions.
- Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our team.
- Fraud Prevention: Identify patterns of fraudulent behavior and develop models to detect and prevent these behaviors.
We're passionate about our customers, fearless in the face of barriers, and driven by data. Our engineering team values collaboration, decentralization, and diversity. We create an inclusive environment where everyone can thrive.
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