Applied Research Engineer, Hebbia

• This role is best suited for an individual who can excel at both running experiments with novel LLM techniques as well as building production grade, LLM-enabled software systems - embedding directly in the software development lifecycle
• 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
• Excellent problem-solving and analytical skills
• Strong communication and teamwork abilities
• Strong capability to translate research into production software systems

Desirable

• 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
• This role requires prior expertise in NLP, machine learning systems, and LLM evaluation; experience building with foundation models and experience working with Attention based NLP models is a plus
• 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