Data Science Engineer-ML/NLP

As a Senior ML/NLP Software Engineer, the individual will strategize and drive NLP initiatives for information extraction from legal documents, code, and general ML in code analysis, partnering with stakeholders to design and build flexible and robust features. They will create novel model architectures and ML/NLP techniques, build data curation and model training workflows, perform error analysis, and contribute to the development of a complex AI backend system. The role involves generating data-driven insights for evolving capabilities, creating practical ML and NLP solutions, collaborating with engineering teams on end-to-end implementation, and architecting systems that balance scrappiness with a forward-thinking outlook. Finally, the role requires solving complex problems with simple, pragmatic solutions while maintaining a proactive and collaborative approach.