Semantic Backend Engineer (Contract, Remote)

INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy.

Overview

INKHUB is ingesting 10 million raw PDFs to build the Internet’s richest catalog of marketing‑grade B2B content — tagged, summarized, and searchable by topic, company, or intent. We’re looking for an applied ML engineer to own the semantic ingestion pipeline, from raw PDFs to tagged, summarized, and embedded assets.

What You’ll Do

• Own the ETL pipeline from raw PDFs (S3‑ingested) to structured resources.
• Finalize our summarization and classification flow using open‑source models with GPT‑4o fallback.
• Apply filtering logic (≤3 years old, ≤100 pages, etc.) to enforce resource quality.
• Map each asset to the specific topic taxonomy (10+ per topic across ~9,000 topics).
• Generate dense embeddings using sentence‑transformers.
• Load and query embeddings using Milvus or pgvector.
• Implement “freshness” logic to identify and index only new or updated content based on file diffing, crawl timestamp, or document hash.
• Build a QA / eval harness : format compliance, , drift monitoring.
• Expose / v1 / semantic‑search via FastAPI, with filtering and rank fusion.
• Collaborate closely with our Tech Lead on UX integration and snippet generation.

Your Toolbox

You Might Be a Fit If

Why This Role Matters

Your models decide what gets found, how it’s tagged, and which content and companies stand out. You’ll help define what “relevance” and “freshness” mean for over a million resources and 50,000+ company pages and make sure INKHUB stays ahead of the curve.

Referrals increase your chances of interviewing at INFUSE by 2x. Be among the first 25 applicants to get a fair and detailed assessment from our seasoned recruiting professionals.

#J-18808-Ljbffr