Applied Research Engineer, Agents at Hebbia

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, LegalIndustries

Requirements

Prior expertise in NLP, machine learning systems, and LLM evaluation
Experience building with foundation models
Experience working with Attention based NLP models (preferred)
Ability to run experiments with novel LLM techniques
Ability to build production grade, LLM-enabled software systems and embed in the software development lifecycle
Expertise in statistics, programming, and machine learning

Responsibilities

Analyze and interpret complex data types to derive and implement cutting edge insight generation systems focused on LLMs
Iterate and explore new LLM and NLP techniques to maintain industry leadership
Develop and deploy data-driven models and algorithms
Solve business problems, improve processes, and enhance company performance
Collaborate with cross-functional teams to improve NLP/LLM capabilities in the app
Stay up-to-date with the latest advancements and research in the space
Collaborate with software teams
Own experiments and POCs combining latest research findings with high value customer problems
Leverage relationships with foundation model providers to beta test models, experiment with new features, and develop guidance on model strengths
Enable agentic capabilities across the Hebbia product suite

Skills

Multi-Agent Frameworks

Distributed Systems

LLM Inference

DAG Orchestrator

Graph Mutations

Retrieval Capabilities

Document Understanding

Copiloting

Scalable Data Processing

Metadata Generation

Hebbia

AI-powered browser extension for efficient information retrieval

About Hebbia

Hebbia.ai offers an AI-powered browser extension that enhances the traditional search function by understanding the context of user queries. This tool quickly highlights the most relevant information in lengthy documents, making it easier for users to find what they need. It is particularly useful for professionals such as researchers, financial analysts, legal experts, and software engineers who often work with extensive documentation. Unlike standard search tools, Hebbia's extension provides a more efficient way to sift through large amounts of text, improving information retrieval speed significantly. The company is currently in private beta, allowing early users to test the product, with plans to monetize through subscription fees or licensing agreements in the future. Hebbia aims to optimize workflows for its users by providing a solution that is 20 times faster than traditional methods.

New York City, New YorkHeadquarters

2020Year Founded

$155.3MTotal Funding

SERIES_BCompany Stage

Enterprise Software, AI & Machine LearningIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Risks

High development costs could strain Hebbia's financial resources as it scales operations.

Increased competition from established AI players may overshadow Hebbia's offerings.

Shifting focus to the legal sector may pose challenges in product adaptation.

Differentiation

Hebbia offers AI search with transparent processes, unlike black-box competitors.

The platform enhances traditional search with AI, improving document comprehension significantly.

Hebbia's AI tool is tailored for professionals in finance, law, and pharma sectors.

Upsides

Hebbia raised $130M, indicating strong investor confidence in its AI search platform.

The legal sector expansion offers new market opportunities for Hebbia's AI solutions.

Partnerships with financial firms validate Hebbia's market fit in AI-driven document search.

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