Job Description for Hebbia
About Hebbia
Hebbia is an AI platform designed to work the way users do, enabling complex tasks with source citations, empowering user collaboration, and fostering validation over blind trust. Our mission is to democratize capable AI by 2030.
Role: Staff Applied AI Engineer
Responsibilities
- Analyze and interpret complex data types to develop innovative insight-generation systems focused on Large Language Models (LLMs).
- Experiment with new LLM and NLP techniques to maintain industry leadership.
- Utilize expertise in statistics, programming, and machine learning to build and deploy models.
- Collaborate with cross-functional teams to enhance NLP/LLM capabilities.
- Stay updated with the latest advancements in AI research.
- Integrate agentic capabilities into existing systems and develop new applications.
- Ensure system efficiency, maintainability, and monitoring.
- Iterate on validation and testing frameworks.
- Leverage deep relationships with foundation model providers to beta test and experiment with new features.
Who You Are
- Bachelor's degree in Computer Science, Engineering, or related fields.
- 7+ years of experience in software development, focusing on applied machine learning systems.
- Strong Python programming skills.
- Experience with NLP libraries such as NLTK, SpaCy, or Apache Tika.
- Familiarity with Search, Indexing technologies, and foundational models APIs.
- Knowledge of statistical analysis and data scraping.
- Experience in developing NLP models, prompting, and building LLM applications.
- Excellent problem-solving, analytical, communication, and teamwork skills.
Compensation
- Salary range between $215,000 and $275,000.
- Eligibility for equity plan and benefits.
- Includes health, dental, and vision coverage.
- Retirement benefits.
- Daily catered lunch.
- Unlimited PTO.
Location
- In person 5 days/week at SoHo office in NYC.
Job Highlights
- Tech & Skills: NLP, LLMs, Machine Learning, Python, Foundation Models, APIs.
- Experience: 7+ years in applied ML development.
- Responsibilities: Developing and experimenting with state-of-the-art NLP and LLM systems.
- Benefits: Competitive salary, benefits, equity, PTO, health coverage.
Tags
NLP, Machine Learning, Python, Foundation Models, AI Development