Content Understanding Research Engineer: Retrieval & Embeddings

present of AI; Zürich; Hybrid; CHF 120,000 - 180,000; Full time

Job summary

Exa is an applied AI lab that builds a search engine and API for AI models and agents. We are seeking a research engineer in content understanding who can turn messy text and documents into clean signals, build and evaluate models, and contribute to retrieval and embedding systems.

The role involves working with large datasets and ensuring quality signals drive search outcomes. You will collaborate on designing experiments, evaluating results, and shaping how content is found and understood,

Qualifications

• Strong ML and data skills with hands-on model building and evaluation.
• Experience with large datasets and rigorous model evaluation.
• Familiarity with retrieval, embeddings, and document pipelines.
• Proficiency in Python and ML tooling.

Skills

Machine learning

Data skills

Python

ML tooling

Retrieval

Embeddings

Text pipelines

Document pipelines

Tools

Python

ML tooling

Job description

Exa is an applied AI lab that builds a search engine and API for AI models and agents. We are seeking a research engineer in content understanding who can turn messy text and documents into clean signals, build and evaluate models, and contribute to retrieval and embedding systems.

The role involves working with large datasets and ensuring quality signals drive search outcomes. You will collaborate on designing experiments, evaluating results, and shaping how content is found and understood,