2 months ago
Singapore, SingaporeEntry Level / Mid Level
Responsibilities
- Train embedding models for advanced web search.
- Design and implement novel transformer-based search architectures.
- Create large-scale datasets for model training.
- Develop evaluation systems to measure search quality improvements.
- Continuously improve upon existing state-of-the-art models.
Requirements
- Graduate-level experience in machine learning or exceptional undergraduate performance.
- Proficiency in coding transformers from scratch using PyTorch.
- Experience in creating large-scale datasets.
- Strong interest in the importance of high-quality knowledge retrieval.
Benefits
- Premium healthcare benefits including medical, dental, and vision.
- Fertility benefits.
- 16 weeks of fully paid parental leave for all new parents.
- Monthly wellness stipend for all employees.
Tech Stack
Categories
Data Science
About Exa
Exa builds a web-scale search engine and API for AI agents and developer applications, combining its own crawler, embedding models, and high-performance vector search. It sells usage-based APIs and enterprise integrations that power retrieval-augmented generation, browsing, and automation on live web content. The company runs large crawling infrastructure and dedicated GPU clusters to continuously index and embed pages, and ships low-latency search components written in Rust.