Senior Machine Learning Engineer
Fieldguide- Full Time
- Senior (5 to 8 years)
Candidates should have extensive experience in machine learning, particularly with large language models and traditional NLP algorithms. A strong background in generative AI and a passion for innovation in the text domain are essential, along with familiarity with prompt engineering and Retrieval-Augmented Generation techniques.
The Senior Machine Learning Engineer will conduct ongoing research into methods for generating text-based content and leverage large language models to innovate new applications. They will experiment with various models to identify effective strategies for deployment across business use cases and stay updated with the latest trends in generative deep learning.
Consumer-permissioned financial data platform
Truv provides a platform that allows financial organizations to access consumer-permissioned data, which includes income and employment verification, direct deposit switching, and employment history verification. The platform works by integrating various data sources, enabling organizations to make informed decisions while reducing risks and costs associated with customer acquisition and verification processes. What sets Truv apart from its competitors is its comprehensive access to all consumer-permissioned financial data sources, which allows for quicker launches and a more efficient workflow. The goal of Truv is to empower financial organizations to operate more confidently and effectively by providing high-quality data and tools that drive growth.