# Member of Technical Staff, Model Training

**Company:** [Parallel](https://hotfix.jobs/companies/parallel)
**Location:** California
**Role:** ML Engineering
**Salary:** $150k – $300k/yr
**Skills:** Transformer Fine-Tuning, Data Curation, Model Evaluation, Ranking Models, Retrieval Models, Agent Behavior Modeling, Label Quality
**Posted:** 2026-06-23

> Own the training pipeline for search and agent models, building from product usage data through fine-tuning and evaluation to production deployment. Requires deep expertise in transformer fine-tuning, data curation, and training models for ranking, retrieval, and agent behavior.

## Job Description

## Responsibilities
- Own the training pipeline behind the models that power Parallel’s search stack and agents
- Build rankers, classifiers, and query models that surface the right information for search
- Develop models that help agents plan, reason, and execute high-value tasks over web data
- Build the path from real product usage to high-quality training data
- Fine-tune and evaluate models rigorously
- Ship models safely to traffic used by millions

## Requirements
- Deep intuition on modern models and training, including transformer fine-tuning, data curation, and label quality
- Rigorous thinking about how ranking, retrieval, and agent behavior inform one another
- Ability to train models that serve ranking, retrieval, and agent use cases
- Passion for applying research to product and systems used by millions

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