About the job
As an Applied Research Engineer, you will be the bridge between research, industry, and application shaping the future of our core natural language processing systems. You will be responsible for enabling agentic capabilities across the Hebbia product suite. You will own experiments and POCs focused on combining the latest research findings with specific high value problems that our customers encounter each and every day. You will leverage our deep relationships with foundation model providers - partnering to beta test models, experiment with new features, and develop guidance on relative model strengths.
Responsibilities
- Focused on LLMs, you will play a crucial role in analyzing and interpreting complex data types to derive and implement cutting edge insight generation systems.
- Iterate and explore new LLM and NLP techniques maintaining our foothold as an industry leader
- You will utilize your expertise in statistics, programming, and machine learning to develop and deploy data-driven models and algorithms
- Your work will contribute to solving business problems, improving processes, and enhancing the overall performance of the company
- Collaborate with cross-functional teams to improve NLP/LLM capabilities in app
- Stay up-to-date with the latest advancements and research in the space
- 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.
Qualifications
Minimum
- Bachelor's degree in Computer Science, Engineering, or related field
- 7+ years software development experience at a venture-backed startup or top technology firm, with a focus on applied machine learning systems
- 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
- Experience working with foundational models and corresponding APIs
- Knowledge of statistical analysis and data scraping techniques
- Prior experience in developing NLP models and systems
Preferred
- Master’s degree in Computer Science, Mathematics, Machine Learning or a related field is a plus.
- Experience building agentic systems or LLM enabled products.
- Frequent user of AI products, especially during the development lifecycle (i.e. Cursor, Claude Code, etc).
- Experience with prompting and building LLM applications and agents is a plus.