Hebbia is seeking an Applied Research Engineer to join their Agents team. The successful candidate will be responsible for enabling agentic capabilities across the Hebbia product suite, leveraging their expertise in NLP, machine learning systems, and LLM evaluation. The role requires prior expertise in NLP, machine learning systems, and LLM evaluation; experience building with foundation models and attention-based NLP models is a plus.
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
- Unlimited PTO
- Medical + Dental + Vision + 401K insurance
- Catered lunch daily + doordash dinner credit
- Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent
- Fertility benefits: $15k lifetime benefit
- New hire equity grant: competitive equity package with unmatched upside potential