Description
Job Title: Applied Research Engineer, Agents
About the Role:
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.
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.
Requirements:
- 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.
- 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.
- Experience with prompting and building LLM applications and agents is a plus.
Benefits:
- Experience building agentic systems or LLM-enabled products.
- Frequent user of AI products, especially during the development lifecycle (i.e., Cursor, Claude Code, etc).
Compensation:
The salary range for this role is $160,000 to $300,000. This range may be inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate's experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description.