Job Title

Research Engineer, Multilingual Semantic Search

Job Description

TGScope is looking for a research engineer for a project-based contract of about two months, fully remote, paid by the hour.

The project: build a relevance benchmark for channel search in 6+ languages (query sets, relevance judgments, nDCG and recall@k), measure retrieval quality by language and query type, and improve the fusion of semantic and lexical results.

How Python is used: the whole project is Python. The search service is a FastAPI application, embeddings run on ONNX Runtime from Python, and the benchmark, evaluation scripts and experiments are written in Python.

Stack: Python, FastAPI, Qdrant, multilingual-e5 on ONNX Runtime, PostgreSQL with pg_trgm, Reciprocal Rank Fusion.

Restrictions

• No telecommuting
• Agencies are OK

Requirements

• Experience in information retrieval, search or NLP engineering
• Hands-on work with dense retrieval and hybrid search in production
• Strong Python
• Experience with a vector database (Qdrant, Milvus, Weaviate or similar)
• Experience with multilingual embedding models
• Written English

About the Company

TGScope (https://tgscope.io) is an independent R&D lab and Telegram search engine. We index 3 million public channels, run semantic search and an interactive map on top of them, and publish research on the Telegram ecosystem.

Contact Info

• Contact: TGScope Hiring
• E-mail contact: tgscope.connect@gmail.com
• Web: https://tgscope.io/careers/research-engineer-semantic-search?utm_source=python_org&utm_medium=jobboard