Research, ML
Research, ML
exa
Exa is a startup focused on building a cutting-edge search engine for AI applications, leveraging massive-scale infrastructure and advanced embedding models. The ML Research Engineer role involves training models for search optimization, developing novel architectures, and creating large datasets to enhance search quality.
Qualification
- Graduate-level experience in machine learning or strong undergraduate background
- Proficiency in coding transformer models from scratch using PyTorch
- Experience in creating large-scale datasets
- Strong understanding of the importance of high-quality knowledge retrieval
- Ability to innovate and develop novel architectures for search
Responsibility
- Train embedding models for search optimization
- Develop novel transformer-based architectures for search
- Create large-scale datasets for model training
- Design evaluation systems to measure search quality improvements
- Continuously improve and beat internal state-of-the-art models
