Hebbia aims to solve the problem of universal knowledge capture by providing a user interface that makes every atom of information accessible. The company enables leading finance and legal firms with advanced reasoning, copiloting, and retrieval capabilities to unlock meaningful insights for complex use cases. The Agents team specifically builds systems for deep research and copiloting experiences, tackling large-scale data challenges for customers.
Requirements
- Prior expertise in NLP, machine learning systems, and LLM evaluation.
- Experience building with foundation models.
- Experience working with Attention based NLP models is a plus.
- Strong programming skills in Python.
- Experience with NLP and text processing libraries such as NLTK, SpaCy, or Apache Tika.
- Experience with Search and Indexing technologies.
- Proficient in machine learning techniques and algorithms.
Responsibilities
- Analyze and interpret complex data types to derive and implement cutting-edge insight generation systems focused on LLMs.
- Iterate and explore new LLM and NLP techniques to maintain industry leadership.
- Utilize expertise in statistics, programming, and machine learning to develop and deploy data-driven models and algorithms.
- Collaborate with cross-functional teams to improve NLP/LLM capabilities in the app.
- Collaborate with software engineers to integrate agentic capabilities into existing systems or develop new applications.
- Ensure that systems are efficient, maintainable, and well monitored.
- Iterate on validation and testing frameworks.
Other
- Bachelor's degree in Computer Science, Engineering, or related field
- Master’s degree in Computer Science, Mathematics, Machine Learning or a related field is a plus.
- 7+ years software development experience at a venture-backed startup or top technology firm, with a focus on applied machine learning systems
- Excellent problem-solving and analytical skills
- Strong communication and teamwork abilities
