Parallel
Early Career Research Engineer
$150K–$300K
Palo Alto +1 · On-site · Entry level · Full-time · Posted Jan 24, 2026
- Location
- Palo Alto
New York, New York - Experience
- Years of experience depend on the internal job level requirements; no specific number is stated.
- Education
- Bachelor's degree or equivalent combination of education, training, and professional experience.
- Visa sponsorship
- Visa sponsorships
About the job
Design and train information retrieval models that help AI agents find and retrieve relevant information from the open web through Parallel’s APIs.
What you'll do
- Develop embedding and ranking models for diverse, complex queries.
- Balance model capability with sub-second retrieval latency.
- Maintain fresh search indexes as the web changes.
What they ask for
- Bachelor's degree or equivalent combination of education, training, and professional experience.
- A field relevant to the role, demonstrated through coursework, training, or professional experience.
Nice to have
- Experience with information retrieval systems, embedding models, or neural ranking at scale.
- Interest in research on training models to understand and serve billions of web documents.
Pay
$150K – $300K USD base salary
Tools
embedding models, neural ranking, distributed training pipelines, SIGIR, RecSys
AI focus
Build information retrieval models and APIs for AI agents, combining classical information retrieval techniques with modern deep learning.
Model-written summary · the original posting is authoritative