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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
Job Responsibility:
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
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
Excellent problem-solving and analytical skills
Strong communication and teamwork abilities
Strong capability to translate research into production software systems
Nice to have:
Master’s degree in Computer Science, Mathematics, Machine Learning or a related field is a plus
Experience with prompting and building LLM applications and agents 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 building with foundation models and experience working with Attention based NLP models is a plus
What we offer:
PTO: Unlimited
Insurance: Medical + Dental + Vision + 401K
Eats: Catered lunch daily + doordash dinner credit if you ever need to stay late
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