Full-Stack Engineer

Company Description

FT3 Media is an emerging media company building a new model for journalism: pre-narrative, fact-first reporting. In an era of collapsing public trust, FT3 is developing proprietary bias-detection technology to deliver raw, verifiable facts before interpretation, framing, or spin. By exposing how narratives are constructed rather than assigning ideological labels, FT3 aims to give audiences the tools to think critically and independently.

As an up-and-coming platform, FT3 Media seeks to redefine how news is created and consumed—laying the groundwork for a more transparent, trustworthy, and intellectually empowering media future.

Full-Stack Engineer (Bias Detection & Media Transparency)

We’re looking for a full-stack engineer to build bias detection technology that analyzes news articles at the sentence level. You’ll own the pipeline end-to-end — from article ingestion through bias scoring to user-facing visualizations.

You’ll design systems that can process thousands of articles daily, identifying patterns like loaded language, source imbalance, and narrative framing
. That means:

• Building ingestion pipelines (RSS, APIs, scrapers) and real-time processing (Kafka, AWS Lambda, or similar).
• Integrating multiple APIs (News Guard, AWS Comprehend, OpenAI) and stitching them into a scalable scoring engine.
• Developing classification and clustering models (text classification, embeddings, FAISS).
• Creating interactive interfaces — bias heatmaps, overlays, and clustering views — in React/D3.js that make bias transparent to users.
• Adding monitoring, retries, and audit logs so the system is reliable at scale.
• Designing simple human-in-the-loop tools (Labelbox, Prodigy, Retool dashboards) for annotation and QA.

• Strong with Python (data pipelines, NLP, backend services)
• Solid with JavaScript/React (building clear, intuitive UIs)
• Hands-on with NLP/NLU (classification, sentiment, embeddings)
• Comfortable integrating and orchestrating multiple APIs and services
• Cloud deployment experience (AWS or GCP)
• Pragmatism: you know when to fine-tune a model, when to call an API, and when to keep it simple

This is a 0→1 role in an early-stage environment
. You’ll shape the foundation of our bias detection platform. Clarity, speed, and reliability matter more than perfection.