# Member of Technical Staff, Search Ranking

**Company:** [Parallel](https://hotfix.jobs/companies/parallel)
**Location:** Unspecified
**Role:** ML Engineering
**Salary:** $150k – $300k/yr
**Experience:** 7+ years
**Skills:** Ranking, Retrieval, Neural Reranking, Feature Engineering, Relevance Modeling, Machine Learning, Information Retrieval, Latency Optimization, Cost Optimization, Model Training
**Posted:** 2026-06-23

> Own the multi-stage ranking pipeline for web-scale search, balancing precision, recall, latency, and compute cost across retrieval, first-pass ranking, and neural reranking.

## Job Description

## Responsibilities
- Own the multi-stage ranking pipeline that narrows a web-scale set of candidates down to the handful of best passages for a query
- Spend the least compute necessary while maintaining quality
- Push precision and recall across fast candidate retrieval, lightweight first-pass ranking, and heavier neural reranking
- Decide how much compute each query deserves
- Grade everything on real usage outcomes rather than offline proxies

## Requirements
- Deep intuition for relevance, feature engineering, and the trade-offs between quality, latency, and cost
- Think rigorously about how ranking, retrieval, and agent behavior inform one another
- Train models that serve ranking, retrieval, and agent behavior
- Care about research being applied to product and systems that millions use

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**Canonical:** https://hotfix.jobs/jobs/42567fd9-0b81-4e32-978b-09f4bf114749