Noetica is solving critical NLP problems at the heart of the trillion-dollar capital markets ecosystem with an in-house machine learning platform and decades of ML PhD expertise. The global capital markets are among the largest markets in the world valued at $50T+ and growing. Transactions in these markets are complex. Critical, nuanced legal terms are woven into lengthy documents. These documents must be digested and analyzed by many different parties over the course of a single transaction and multiple decisions are made based on the terms laid out and quantitative and qualitative attributes within. This fundamental need plus a booming market drives enormous demand for precise extraction and benchmarking of legal terms.
Requirements
- Practical experience with traditional NLP techniques and modern LLM architectures.
- Proficiency with Python, PyTorch/TensorFlow, and ML deployment pipelines.
- Direct experience building and fine-tuning language models for specialized domains.
- Strong experience designing effective evaluation metrics for NLP systems.
- You have experience implementing ML systems in regulated industries.
- You have experience optimizing model performance and resource utilization in data-intensive environments.
- You have experience with few-shot learning and prompt engineering techniques.
Responsibilities
- Build ML models and pipelines with scalability and reproducibility as foundational principles, not afterthoughts.
- Develop NLP systems that can accurately process and understand complex legal language and terminology.
- Design and implement LLM-based solutions that are well-documented, and empower legal professionals to extract valuable insights.
- Extend and create reliable model evaluation frameworks that ensure accuracy and reduce the risk of model drift or bias.
- Simplify complex ML systems into more manageable solutions that are easier to understand, maintain, and explain.
- Optimize model performance through smart feature engineering and efficient algorithm selection based on actual use cases.
- Work with security engineers to implement responsible AI practices that protect sensitive data while still delivering valuable insights.
Other
- An MS or PhD in Computer Science, Machine Learning, or a related field with a focus in ML/AI.
- 2+ years of professional software engineering experience.
- Strong communication and collaboration skills.
- A self-starting, problem-solving approach biased towards action and scope minimization.
- You are interested in language, law, finance, or economics.
