Parallel
Early Career Research Engineer
San Francisco. Posted 9 months ago
The role
You will design and train models that power Parallel's APIs to help AI agents find information from the open web. This involves tackling research problems regarding embedding models, retrieval latency, and index freshness at scale.
What you will do
- Design and train models that power Parallel's APIs
- Tackle research problems regarding embedding models and semantic intent
- Balance model expressiveness with sub-second retrieval latency
- Maintain index freshness without rebuilding from scratch
- Build for AI agents that issue complex, multi-hop queries
- Combine classical IR techniques with modern deep learning
Required qualifications
- Bachelor's degree or equivalent combination of education, training, and professional experience
- A field relevant to the role as demonstrated through coursework, training, or professional experience
Benefits
- Competitive salary
- Generous equity
- Visa sponsorships
- 401K plans
- Daily lunch & office snacks
- Dinner at the office
- Unlimited vacation
- Caltrain pass reimbursement
About the company
Parallel is a web infrastructure company. Their products are used by businesses to build AI agents with programmatic access to the web.