Member of Technical Staff, Model Training

Parallel Web Systems•Bay Area, CA

2d•$150,000 - $300,000•Onsite

About The Position

You will own the training pipeline behind the models that power both Parallel’s search stack and Parallel’s agents. On the search side, that means the rankers, classifiers, and query models that surface the right information. On the agent side, that means the models that help our agents plan, reason, and execute high-value tasks over web data. You will build the path from real product usage to high-quality training data, fine-tune and evaluate these models rigorously, and ship them safely to traffic used by millions.

Requirements

Deep intuition on modern models and training, including transformer fine-tuning, data curation, and the craft of label quality.
Ability to think rigorously about how ranking, retrieval, and agent behavior inform one another, and how to train models that serve all three.
Care about research being applied to product and systems that millions use.

Responsibilities

Own the training pipeline behind the models that power Parallel’s search stack and Parallel’s agents.
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.