The role
- COMP
- $210K - $275K
- EQUITY
- Competitive equity — details shared during the process.
- LOCATION
- San Francisco
- WORKPLACE
- Hybrid
- EXPERIENCE
- 3+ years
- VISA
- None, Visa transfers
- STACK
- Python, PyTorch
- INDUSTRY
- AI, Devtools, API SDK, Marketing, Data
/roles — ROLE_92
Research Engineer
Web data API for AI
The company
Developer-infrastructure company behind a widely used web-data API that lets AI agents search, scrape, and turn any website into clean structured data at scale.
- STAGE
- Series A-stage
- FUNDING
- $10M+ raised
- TEAM
- ~40 people
- FOUNDED
- 2022
- BACKING
- VC-backed
JD — the work
About the role
Build the evaluation systems that decide whether web-extraction actually works — rigorous measurement across millions of sites, formats, and edge cases at a breakout developer-infrastructure company. Not an inherit-a-framework eval job: you design the metrics, build the pipelines, generate the datasets, and own the loop from quality back to product decisions.
What you'll do
- Design the metrics defining what 'good extraction' means
- Build eval pipelines and generate datasets at web scale
- Own the feedback loop from output quality to model and product decisions
- Make 'did that work?' answerable as systems get more complex
What they're looking for
- Engineering depth to measure quality rigorously
- Evaluation/data-science instincts
- Frontier-pace ownership