7 months ago
San Francisco, CA, USAMid Level / Senior
Base Salary
$150k - $220k/yr
Responsibilities
- Improve the accuracy and latency of core models for predicting user actions.
- Design and optimize LLM inference pipelines and network-level optimizations.
- Build evaluation frameworks and data pipelines for model quality measurement.
- Experiment with retrieval-augmented approaches using vector databases.
- Develop synthetic data generation pipelines for browser interaction training.
- Work with DOM states and user interaction data to enhance browser understanding.
- Ship features end-to-end that directly impact users.
Requirements
- Strong ML fundamentals with hands-on experience in model training and deployment.
- Experience optimizing inference pipelines for low latency.
- Deep commitment to data quality and building supportive tooling.
- Familiarity with LLMs, transformer architectures, or sequence prediction.
- Comfortable working across the tech stack including Chrome extensions and cloud services.
- Character traits of curiosity, teamwork, and effective communication.
Tech Stack
ElectronNode.jsReactTypeScript