Research Engineer, Generalist

Exa; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

A tech company is seeking a Generalist Research Engineer to enhance their search engine capabilities. This in-person role in Singapore involves working across crawling, parsing, and ML algorithms to improve information retrieval. Ideal candidates will have high attention to detail and a strong desire to work on diverse projects, such as enhancing parser performance and optimizing ML models. The company is open to sponsoring international candidates.

Qualifications

• High attention to detail and understanding of customer needs.
• Eager to work across search and retrieval stack.
• Comfortable shipping quickly across different systems.
• Comfortable working across different systems and shipping fast.

Responsibilities

• Work on crawling, parsing, ML performance, and retrieval algorithms.
• Design and ship a new parser to improve performance.
• Improve throughput and latency of ML models.

Skills

High attention to detail

Intellectual horsepower

Understanding of crawling and parsing

Ability to work across different systems

Focus on high quality information

Cross-team collaboration

Job description

Exa is building a search engine from scratch to serve every AI application. We build massive-scale infrastructure to crawl the web, train state-of-the-art embedding models to index it, and develop super high performant vector databases in Rust to search over it. We also own a $5M H200 GPU cluster that regularly lights up tens of thousands of machines.

Generalist Research Engineers work across our search and retrieval stack: crawling, parsing, ML performance, retrieval algorithms. The team is centered around improving end quality of search endpoints for customers.

Desired Experience

• High attention to detail; simultaneously understand customer needs and implementation details of the system
• Great intellectual horsepower - generalists who are eager to go deep
• You're excited to work across our search and retrieval stack: crawling, parsing, ML performance, retrieval algorithms and more
• Comfortable working across different systems, and shipping fast
• You care about the problem of finding high quality information and recognize how important this is for the world

Example Projects

• Design and ship a new parser that dramatically improves retrieval performance
• Improve throughput and latency of ML models
• Make our web crawler 3x faster

This is an in-person opportunity in Singapore. We’re happy to sponsor international candidates.